Image Processing Projects Github


Here are 8 fun machine learning projects for beginners. A Computer Science portal for geeks. I just knew that it could help me recognize text, shapes and patterns and to do interesting things with them. Images are represented as 4D numeric arrays, which is consistent with CImg's storage standard (it is unfortunately inconsistent with other R libraries, like spatstat, but converting between representations is easy). He is the recipient of the Best Thesis Awards of Ministry of Education of Shanghai City and Fudan University. This is a curated list of Python projects for non-rigid (i. This project uses machine learning for satellite imagery processing to identify building rooftops. You can perform image segmentation, image enhancement, noise reduction, geometric transformations, image registration, and 3D image processing. The toolbox is splendid and makes image processing projects incredibly easy. ; Google Brain A deep learning project part of Google X attempting to have intelligence similar or equal to human-level. Although the project is inspired by needs in mathematical computations, and the text contains some (simple) mathematics, there is no need for a thorough understanding of concepts like matrices and vectors to do the project. org/phd-help/ http://www. We examine top Python Machine learning open source projects on Github, both in terms of contributors and commits, and identify most popular and most active ones. This project demonstrates using HLS with C/C++ to accelerate image processing. All that aside, let's look at using ImageSharp to do some simple image processing. Research scholars mostly interested to choose their concept objective in medical imaging. Technology are growing very fast with new innovation ideas, similarly matlab also updated with latest technologies and provides various real time projects. Yet, with OpenCV being a common choice in industry (and my student Matlab licence expiring soon), I thought it to be. Its main contributions are n-dimensional versions of popular image filters , a collection of image feature extractors , ready to be used with scikit. In this project we will learn to read and write image file using Java programming language. I just knew that it could help me recognize text, shapes and patterns and to do interesting things with them. 's project can do much more than that. Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. The reason we are doing it in C# is that it very flexible for me. Hosted by GitHub. Processing is an open-source graphical library and integrated development environment (IDE) built for the electronic arts, new media art, and visual design communities with the purpose of teaching non-programmers the fundamentals of computer programming in a visual context. Alessandro Di Maio, Experimental Research Officer for BALM. GitHub Gist: instantly share code, notes, and snippets. png',0) ret,thresh1 = cv2. We are focusing on the research topics of Video Coding & Processing, Image Processing & Computer Vision and Machine Learning & Deep Learning, including the advanced algorithms and optimization models, and the efficient implementations of practical systems. I am a front-end web developer working in Angular, React and VueJS. View the Project on GitHub clij/clij-docs. Image processing Projects with Python 1) Text Recognition in Images by Python. 1 for this project. This section addresses basic image manipulation and processing using the core scientific modules NumPy and SciPy. All the hardware designed in the project and its programming toolchain are open-source and can be found on the project github. degree from School of Electrical and Information Engineering, Tianjin University, Tianjin, China. Image processing is an amazing technique now a days and is difficult to do that is why we have imposed a bit cost on some of the major projects. Image Processing Toolbox™ provides a comprehensive set of reference-standard algorithms and workflow apps for image processing, analysis, visualization, and algorithm development. Plus, you can add projects into your portfolio, making it easier to land a job, find cool career opportunities, and even negotiate a higher salary. We examine top Python Machine learning open source projects on Github, both in terms of contributors and commits, and identify most popular and most active ones. The quality of the documents ranges wildly, and I'm looking for tips on what sort of image processing might improve the results. Learn more. Image processing Projects with Python 1) Text Recognition in Images by Python. , it is organized into well-separated projects. Fluid Simulation + SoftBody Dynamics + Optical Flow + Rendering + Image Processing + Particle Systems + Physics + View the Project on GitHub. Image Processing projects are being laid out with the help of MATLAB. This operation is sometimes called pruning. research as a Visiting Student with Research School of Engineering, Australian National University, Canberra, Australia. View the Project on GitHub clij/clij-docs. CLIJ: GPU-accelerated image processing for everyone Introduction. Fuzzy Edge Detection in Images. The image() function draws an image to the display window. I'm going to download and compile the project manually, and then include the projects needed in a new solution along with a. Note: For explanation purposes I will talk only of Digital image processing because analogue image processing is out of the scope of this article. This can be useful, for example, when preparing a solar time-lapse animation, where subsequent frames are offset due to inaccurate tracking of the telescope mount. The first and best place to find is MATLAB File Exchange [1] 1. One of the aims of Processing is to allow non-programmers to start computer programming aided by visual feedback. Open source software is an important piece of the data science puzzle. SciPy is package of tools for science and engineering for Python. Text recognition of an image is a very useful step to get the recovery of multimedia content. Image Processing Projects Image Processing is a form of signal processing for which images such as photography or video are taken as input and are processed usually either with two dimensional technique or standard signal processing, to obtain final output as a set of characteristics or image or parameters related to the image. Project maintained by jonnor Hosted on GitHub Pages — Theme by mattgraham imgflo is a on-demand image processing server based on GEGL. I conducted the Ph. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). During the preview period, the API may change without advance notice. MedPy is a library and script collection for medical image processing in Python, providing basic functionalities for reading, writing and manipulating large images of arbitrary dimensionality. Our concern support matlab projects for more than 10 years. NET machine learning framework combined with audio and image processing libraries completely written in C# ready to be used in commercial applications. https://libvips. Creating the Image Processing Network. In this application, you upload an image to a web application that is stored in IBM Cloud Object Storage, which triggers your serverless functions to run. A webcam application that can track colors. Target detection using image processing the automatic detection and marking of target objects will improve the efficiency of remote sensing image interpretation. Image processing Projects with Python 1) Text Recognition in Images by Python. Alternatively, drop us an e-mail at xavier. Projects and implementations are ever so on random topics but interesting ones nevertheless. Image Processing Projects Image Processing is a form of signal processing for which images such as photography or video are taken as input and are processed usually either with two dimensional technique or standard signal processing, to obtain final output as a set of characteristics or image or parameters related to the image. Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, Subrahmanyam Murala,"LEARNet: Dynamic Imaging Network for Micro Expression Recognition,"IEEE Transactions on image processing, 2019(Impact Factor 5. View the Project on GitHub clij/clij-docs. The pipeline has been developed in Python and makes use of a set of network based queues as to divide the system up into isolated functional components. List of (non-rigid) image registration projects for Python Purpose. A family of statistical viewing algorithms aspired by biological neural networks which are used to estimate tasks carried on large number of inputs that are generally unknown in Artificial Neural Networks Projects. A NASA Open Government Initiative Website. Emgu CV is a cross platform. How much will you have studied image processing and computer vision prior to doing the project? The amount of previous experience would have a great impact on which projects are viable. I decided the latter probably makes the most sense for me - one project per GitHub project. Plugins Fiji features thousands of plugins that aid in scientific image processing and analysis. Changing Image Type. Digital image processing is the use of algorithms to make. scikit-image is an image processing library that implements algorithms and utilities for use in research, education and industry applications. Anyone can fund any issues on GitHub and these money will be distributed to maintainers and contributors IssueHunt help build sustainable open. Processing pipelines can be created interactively using the visual, node-based IDE Flowhub. Image_Lib - contains common code files that is reused by most projects. Processing is an open-source graphical library and integrated development environment (IDE) built for the electronic arts, new media art, and visual design communities with the purpose of teaching non-programmers the fundamentals of computer programming in a visual context. phdprojects. This chapter describes how to use scikit-image on various image processing tasks, and insists on the link with other scientific Python modules such as NumPy and SciPy. More information about the project can be found on the project webpage. Which are the best open source tools for image processing and computer vision? Like OpenCV which are best alternative open source tools for development of image processing and computer vision. As systems of interconnected 'neurons' to calculate values from input users Artificial Neural Networks that are capable of machine learning. Digital image processing projects are developed and maintaining the extraordinary process behind in the image processing concepts. Find this and other hardware projects on Hackster. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. I found that they are quick to investigate and address issues on Github. Please see the blog post for full details. degree from School of Electrical and Information Engineering, Tianjin University, Tianjin, China. phdprojects. Image Sequencer is a sequential Image Processing and analysis system for browser, Node. Precision Image. In digital image processing the images are continuously translate the sensed information to forming digital information. 5+ It consists of two main libraries ImageProcessor - For desktop and application use and ImageProcessor. Web camera is connected to the pc and. Ward, "Object-based Multiple Foreground Video Co-segmentation via Multi-state Selection Graph", IEEE Transactions on Image Processing ( TIP ), 2015. This article will describe C++ code that was developed for a MFC multi. I think, image stitching is an excellent introduction to the coordinate spaces and perspectives vision. Image enhancement is the process of adjusting digital images so that the results are more suitable for display or further image analysis. This project demonstrates using HLS with C/C++ to accelerate image processing. 'ImageMagick' is one of the famous open source libraries available for editing and manipulating Images of different types (Raster & Vector Images). Find this and other hardware projects on Hackster. The codes of the following projects conducted in the Signal and Image Processing Laboratory (SIP-Lab) at the University of Texas at Dallas (UTD) can be downloaded from the GitHub repository listing below. Text recognition of an image is a very useful step to get the recovery of multimedia content. It is one of the tasks which do not have deterministic algorithms that can be applied to all kinds of images, but requires selective adoption of certain methods th. I was a PhD candidate in the Department of Electrical Engineering at Princeton University. Project Ne10 An open, optimized software library for the ARM architecture. Image Processing is a form of signal processing for which images or video are taken as input and processed with 2-D technique. Images must be in the sketch's "data" directory to load correctly. A very good project would be to solve Where's Waldo puzzle. Top Brazilian projects on GitHub, by number of stars. Download Project - Currency Recognition System using Image Processing >> 100+ Projects on Image Processing >> 50+ Real-Time Project Abstracts and Downloads for Engineering Students >> Image Processing Project Topics with Full Reports and Free Source Code >> Matlab Projects Fingerprint Recognition and Face detection for Engineering Students. MATLAB GUI codes are included. Overview The KNIME Image Processing Plugin allows you to read in more than 120 different kinds of images (thanks to the Bio-Formats API) and to apply well known methods on images, like preprocessing. GitHub Gist: instantly share code, notes, and snippets. You could have a single project that contains multiple repositories and build pipelines, or you could use separate projects for each. phdprojects. Open source software is an important piece of the data science puzzle. Hi!I am Chongyi Li (李重仪). Welcome to Processing Shader Examples! actually work on the project homepage in GitHub; taught at ITP Camp 2011 on the topic of Image Processing with Shaders. tech students can download latest collection of matlab projects based on image processing with source code,project report,ppt,pdf and abstracts for free of cost. We make extensive use of Github in our day-to-day activities. About IFP Group. Project Ne10 An open, optimized software library for the ARM architecture. (Updated Jan. Get results from your videos faster. Now there are two important keys in image processing. The major reason for its success in industry is its growth and low-cost for software and hardware. Yet, with OpenCV being a common choice in industry (and my student Matlab licence expiring soon), I thought it to be. Scikit-image: image processing¶ Author: Emmanuelle Gouillart. Please click on each project to view high-res images. Image Processing 101. ImageProcessor is a collection of lightweight libraries written in C# that allows you to manipulate images on-the-fly using. SimpleElastix is an extension of SimpleITK that includes the popular elastix C++ library. Synopsis The remote device is missing a vendor-supplied security patch Description According to its self-reported version, Cisco IOS XE Software is affected by a vulnerability in the filesystem which allows an authenticated, local attacker within the IOx Guest Shell to modify the namespace container protections on an affected device. If you have any general doubt about our work or code which may be of interest for other researchers, please use the public issues section on this github repo. A Computer Science portal for geeks. I found that they are quick to investigate and address issues on Github. These systems have been proposed to help humankind in various walks of life using AI based systems. Image resize is a generic functionality in image processing. Open source software is an important piece of the data science puzzle. It is released under the liberal Modified BSD open source license, provides a well-documented API in the Python programming language, and is developed by an. Image Pre-Processing. The major reason for its success in industry is its growth and low-cost for software and hardware. Sign in Sign up. Modern remote sensing image processing with Python - modern-geospatial-python. "PATTERNS" and "ICONS" folders [depicted below] in the Debug folder fit this format. Each image's name is the target (or output) value for the network (the pixel values of the image are the inputs, of course). If an RGB image is input, the analysis will be performed on the intensity component of the HSI transform. Create your free GitHub account today to subscribe to this repository for new releases and build software alongside 40 million developers. This operation is sometimes called pruning. Steps Involved in Medical Image Processing Projects ? Recognize various types of imaging studies. It provides a collection of libraries and command-line tools to assist in processing and analyzing imaging data. We have used OpenCV which is one of the most powerful images processing framework. A Computer Science portal for geeks. phdprojects. DSP Projects Digital signal processing (DSP) has developed to be important, both technologically and theoretically. Deep Joint Task Learning for Generic Object Extraction. We examine top Python Machine learning open source projects on Github, both in terms of contributors and commits, and identify most popular and most active ones. In our blog post we will use the pretrained model to classify, annotate and segment images into these 1000 classes. By sending an image to the GPU and performing a few operations, [Reuben] can do very fast edge. In the Create GitHub Repository dialog box, enter your GitHub user name and password, and edit the name for the new repository. The image() function draws an image to the display window. RxJava is a Java VM implementation of Reactive Extensions, which is a library for composing asynchronous and event-based programs by using observable sequences. For example, you can remove noise, sharpen, or brighten an image, making it easier to identify key features. The imaging techniques used in medical devices include a variety of modern equipment in the field of optical imaging, nuclear imaging, radiology and other image-guided intervention. research as a Visiting Student with Research School of Engineering, Australian National University, Canberra, Australia. Try to build them and have fun with them. It is non destructive in the sense that a new Image is created after each processing step. Azure DevOps prompts you to enter a name for your project (I used the name of my GitHub project, NetEscapades. This image might give useful insights on certain topics, for example, but it would be a big mistake to compare it directly with an old Landsat 5 image using a similar band combination and assume that any apparent changes were real - unless you could be sure that they'd gone through exactly equivalent processing. Compared to similar libraries, libvips runs quickly and uses little memory. Sign in Sign up. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. Huazhu Fu, Dong Xu, Bao Zhang, Stephen Lin, Rabab K. An image can be described. You would get a number of scenes from search results of Google Images when you search about the puzzle. The pipeline has been developed in Python and makes use of a set of network based queues as to divide the system up into isolated functional components. Since 2001, Processing has promoted software literacy within the visual arts and visual literacy within technology. 12 Just import OpenCV library and use it: [code]import cv2 import numpy as np from matplotlib import pyplot as plt img = cv2. Try to build them and have fun with them. Two image files (. Projects on Image Processing will mainly useful for research scholars, under and post graduates students. NET framework. The ImageMagick library has an overwhelming amount of functionality. This post is curated by IssueHunt that an issue based bounty platform for open source projects. #Image Processing Projects. Contact Best Phd Projects Visit us: http://www. 4) Matlab code for Drowsy Driver Detection. Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, Subrahmanyam Murala,“LEARNet: Dynamic Imaging Network for Micro Expression Recognition,”IEEE Transactions on image processing, 2019(Impact Factor 5. Those functions perform some image processing and analysis, such as charcoaling the image and running visual recognition on it. scikit-image is a collection of algorithms for image processing. p2-cv EECS 280 Project 2: Computer Vision Project Due Friday, October 4 2019 8pm. A Computer Science portal for geeks. View the Project on GitHub clij/clij-docs. The network performs the following image-processing operations: For any image that is authored by Tom, convert to grayscale. You could have a single project that contains multiple repositories and build pipelines, or you could use separate projects for each. This is an extremely competitive list and it carefully picks the best open source Machine Learning libraries, datasets and apps published between January and December 2017. The most recent algorithms our group has developed for contour detection and image segmentation. This paper shows how to use deep learning for image completion with a. NET machine learning framework combined with audio and image processing libraries completely written in C# ready to be used in commercial applications. libvips is a demand-driven, horizontally threaded image processing library. In particular, the submodule scipy. If the image is larger than the view, scale it down uniformly so that it is contained in the view. The quality of the documents ranges wildly, and I'm looking for tips on what sort of image processing might improve the results. Fast Fourier Transform (FFT) is an efficient implementation of DFT and is used, apart from other fields, in digital image processing. We aggregate information from all open source repositories. MATLAB image processing codes with examples, explanations and flow charts. List of (non-rigid) image registration projects for Python Purpose. Point Cloud Library. Training data is a set of images you collected for your application as the input of BOWTrainer, and vocabulary is the output of the BOWTrainer. 1 for this project. NET Core to process images. MATLAB Image Processing. This image processing tool removes small irregularities (i. tech students can download latest collection of matlab projects based on image processing with source code,project report,ppt,pdf and abstracts for free of cost. image processing c source code free download. In the Create GitHub Repository dialog box, enter your GitHub user name and password, and edit the name for the new repository. You can perform image segmentation, image enhancement, noise reduction, geometric transformations, image registration, and 3D image processing. Satellite Image Processing Learning Algorithm EECS 349 Northwestern University Spring 2016 View on GitHub Download. Here’s the full list for 2019 in case you missed out on some mind-blowing projects: January. Some basic image processing functions involve manipulation of the pixels using filters or histogram based functions that modify the pixel distribution. Keeping with my promise to keep library use to a minimum, it was written in vanilla Javascript. #Image Processing Projects. NET Core console application. Sign in Sign up. This module wraps the libvips image processing library. Most of the Research scholars should take objective on medical imaging and also select corresponding modalities also. View the Project on GitHub clij/clij-docs. Naturally, image processing algorithms are fundamental to neuroimaging, because a lot (if not all) the data that we analyze in neuroimaging is image data. This project is in development stage so files will get modified quite often. Fluid Simulation + SoftBody Dynamics + Optical Flow + Rendering + Image Processing + Particle Systems + Physics + View the Project on GitHub. Select "Add file" from the "Sketch" menu to add the image to the data directory, or just drag the image file onto the sketch window. Once you have the vocabulary, you can extract features of images using BOWImgDescriptorExtractor with the words defined in the vocabulary. Generated on Fri Jun 30 2017 10:50:54 for Project Ne10 by 1. The wrapper can be compiled by Visual Studio, Xamarin Studio and Unity, it can run on Windows, Linux, Mac OS X, iOS, Android and Windows Phone. scikit-image is a Python package dedicated to image processing, and using natively NumPy arrays as image objects. In the Manage Sharing dialog box, select GitHub and click Close. Point Cloud is an open source project used in image processing in 2D and 3D format. Image processing with PostgreSQL PostPic is an extension for the open source dbms PostgreSQL that enables image processing inside the database, like PostGIS does for spatial data. org/ http://www. The community of designers, artists, educators and everyday coders, experimenting on algorithmic design. Another interesting feature is the point cloud process with the representation of the external. I've been using tesseract to convert documents into text. Satellite Image Processing Learning Algorithm EECS 349 Northwestern University Spring 2016 View on GitHub Download. spurs) on the boundaries of objects in a Boolean input raster image (--input). Blue Brain Project, an attempt to create a synthetic brain by reverse-engineering the mammalian brain down to the molecular level. It is assumed that you have completed the projects titled How to read and write image file in Java and How to get and set pixel value in Java before starting this project. Analyze video in near real-time Use any of the Computer Vision APIs with you video files by extracting frames of the video from your device and then sending those frames to the API calls of your choice. There are many ways to do content-aware fill, image completion, and inpainting. LIBRARY OVERVIEW The scikit-image project started in August of 2009 and has received contributions from more than 100 individuals2. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more. Projects and implementations are ever so on random topics but interesting ones nevertheless. This first project was a good way to implement ourselves the major functions used in image processing and that are most of the time performed by image processing software. imread('gradient. These systems have been proposed to help humankind in various walks of life using AI based systems. We examine top Python Machine learning open source projects on Github, both in terms of contributors and commits, and identify most popular and most active ones. We will understand image data types, manipulate and prepare images for analysis such as image segmentation. One of the aims of Processing is to allow non-programmers to start computer programming aided by visual feedback. This post is curated by IssueHunt that an issue based bounty platform for open source projects. Our concern support matlab projects for more than 10 years. When I started, I had no idea what it entailed. Find this and other hardware projects on Hackster. This chapter describes how to use scikit-image on various image processing tasks, and insists on the link with other scientific Python modules such as NumPy and SciPy. Plugins Fiji features thousands of plugins that aid in scientific image processing and analysis. Spring Boot makes it easy to create…. Point Cloud Library. Install OpenCV wrapper for Python from PIP opencv-python 3. Image Processing Performance Consideration. Each image's name is the target (or output) value for the network (the pixel values of the image are the inputs, of course). Image Processing in Python This is an introductory tutorial on image processing using Python packages. phdprojects. image processing c source code free download. ImageJ is an open source image processing program designed for scientific multidimensional images. Processing is a flexible software sketchbook and a language for learning how to code within the context of the visual arts. For the past year, we’ve compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0. Image Processing Projects. Github: @aashna27; Organisation: PUBLICLAB; Project: Image Sequencer; Introduction. My name is Advait Ambeskar. My name is 盛律 (How to pronounce it?) in Chinese characters, while my English name may also be rendered as Lü Sheng, Lv Sheng or Lyu Sheng. Install OpenCV wrapper for Python from PIP opencv-python 3. Projects help you improve your applied ML skills quickly while giving you the chance to explore an interesting topic. In this application, you upload an image to a web application that is stored in IBM Cloud Object Storage, which triggers your serverless functions to run. Web - a dynamic image processing extension built for ASP. At Adobe, I work on research and tech transfer projects related to deep learning, image processing and intelligent systems. Digital image processing is the use of algorithms to make. This image might give useful insights on certain topics, for example, but it would be a big mistake to compare it directly with an old Landsat 5 image using a similar band combination and assume that any apparent changes were real - unless you could be sure that they'd gone through exactly equivalent processing. Projects on Image Processing will mainly useful for research scholars, under and post graduates students. Artificial Neural Networks Projects. png',0) ret,thresh1 = cv2. One of the aims of Processing is to allow non-programmers to start computer programming aided by visual feedback. In this project we will learn to convert a color image into grayscale image using Java programming language. GPU Programming For Easy & Fast Image Processing. io/libvips/ If you have the development headers for libvips installed and have a working C compiler, this module will use cffi API mode to try to build a libvips binary extension for your Python. The ImageMagick library has an overwhelming amount of functionality. RxJava is a Java VM implementation of Reactive Extensions, which is a library for composing asynchronous and event-based programs by using observable sequences. in various languages How to make any github project usable or executable is specific to the language and to the kind of the project itself. gz Abstract. Select "Add file" from the "Sketch" menu to add the image to the data directory, or just drag the image file onto the sketch window. Point Cloud Library. It is one of the tasks which do not have deterministic algorithms that can be applied to all kinds of images, but requires selective adoption of certain methods th. SciPy is package of tools for science and engineering for Python. This repository is a collection of all things fun in image processing achieved with opencv and python. Processing is an open-source graphical library and integrated development environment (IDE) built for the electronic arts, new media art, and visual design communities with the purpose of teaching non-programmers the fundamentals of computer programming in a visual context. With abundant information collected by. org/ http://www. I have broadly divided them into three categories - Natural Language Processing (NLP), Computer Vision, and others that don't fall into the above two sections. The image processing based proposed approach is composed of the following steps; in the first step K-Means clustering technique is used for the image segmentation, in the second step some features are extracted from the segmented image, and finally images are classified into one of the classes by using a Support Vector Machine. MATLAB Image Processing. #Image Processing Projects. Basically, the user would take a picture on the client app, and then send the data to the web service. spurs) on the boundaries of objects in a Boolean input raster image (--input). NASA Official: Brian Thomas. Image processing projects. It's simple. This folder is deliberately placed in the project, as it is recommended to check these into source control as part of the project. Find this and other hardware projects on Hackster. Since 2001, Processing has promoted software literacy within the visual arts and visual literacy within technology. txt) or read online for free. Image processing is an amazing technique now a days and is difficult to do that is why we have imposed a bit cost on some of the major projects. org/phd-guidance/ http://www. Now there are two important keys in image processing. Here's the full list for 2019 in case you missed out on some mind-blowing projects: January. We develop computer algorithms and build intelligent applications to solve real world problems in > Image Processing Project Topics with Full Reports and Free Source Code >> 50+ Matlab projects for Digital Image Processing for Final Year Students >> 200+ Matlab Projects for Control System for Engineering Students. My research interests include computer vision and image/video processing, especially deep learning driven 3D and low-level vision problems. Fiji/ImageJ is a leading open-source image analysis application. Junho Jeon, Seong-Jin Park, Hyeongseok Son, Seungyong Lee, ”Computational Photography Software using Deep Learning: Perceptual Image Super-Resolution and Depth Image Refinement,” ECCV Demo Session, 2018. This can be useful, for example, when preparing a solar time-lapse animation, where subsequent frames are offset due to inaccurate tracking of the telescope mount.