Search Results for "morphological image processing" - Page 15
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Showing 618 open source projects for "morphological image processing"
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The Camellia library is an open source and cross-platform image processing library, written in plain C. It includes a lot of speed-optimized imaging functions (filtering, morpho, labeling, motion detection, warping, color conversion, project/backproject)
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cbrTekStraktor
an application to automatically extract text from comic books.
cbrTekStraktor is an application to automatically extract text from the text bubbles or speech balloons present in comic book reader files (CBR). Its prime goal is to perform analysis on the texts of comic books. cbrTekStraktor can however also be used for scanlation or similar purposes. The application also enables to manually define text areas in CBR files. The application comprises a simple graphical editor for further processing the extracted text. The text extraction is... -
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SimpleTAG
Massive audio tagger
SimpleTag is a cross-platform desktop tool, which allows to update the labels of all your music before incorporating it into a musical library or cloud service. Nowadays, the amount of music we have in our equipment is so large, it is no longer possible to manage with the traditional system of filenames and directories. The most convenient is to use the concept of libraries that handle the big market music players: iTunes, Amarok, Windows Media Player, Google Music, ..etc The labels... -
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Ceci est un moteur de jeux réalisé sur java pour aider les néophytes à débuter dans cette fabuleuse aventure qui est la programmation de jeux vidéo . Le moteur de jeu permet de gérer habilement la 2D mais elle n'est pas prévue pour de la 3D. Ce Moteur a d'interresantes fonctionnalitées comme les objets . Toutes les informations sont mises dans le fichier que vous téléchargez ainsi que la façon de l'instalation du moteur. Merci pour votre attention :D
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TESTIMAGES
Testing images for scientific purposes
...Please cite the following papers when using any image in this archive: * ASUNI N, GIACHETTI A, "TESTIMAGES: A Large Data Archive For Display and Algorithm Testing", Journal of Graphics Tools, Volume 17, Issue 4, 2015, pages 113-125, DOI:10.1080/2165347X.2015.1024298 * ASUNI N, GIACHETTI A, "TESTIMAGES: a large-scale archive for testing visual devices and basic image processing algorithms", STAG - Smart Tools & Apps for Graphics Conference, 2014. -
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The project supports the Welsh Language Technology domain with a set of NLP tools that drive innovation and advance the development of sophisticated textual analysis solutions. The WNLT project delivers four core NLP modules; a) Word Segmentation for separating text into words b) Sentence Boundary Disambiguation for finding sentence boundaries c) Part of Speech Tagger for determining the part of speech of each word d) Morphological Analyser for identifying the root form (lemma) of words....
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Low-power approximate adders provide basic building blocks for approximate computing hardware that have shown remarkable energy efficiency for error-resilient applications (like image/video processing, computer vision, etc.), especially for battery-driven portable systems. In this paper, we present a novel scalable, fast yet accurate analytical method to evaluate the output error probability of multi-bit low power adders for a predetermined probability of input bits. Our method recursively computes the error probability by considering the accurate cases only, which are considerably smaller than the erroneous ones. ...
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WrapImaJ
Multi-platform API for Image Processing systems in Life Sciences
WrapImaJ purposes to be a multi-platform wrapper for different Image Processing systems for: - using the Java programming language. The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies. -
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Gallop
A framework for build smooth asynchronous iOS APP
...Easily draw text frame bouding, drawing the hollow words, sets the text vertical Alignment property, etc Easy to parse the expression in the text, like http(s) link, @ user, # theme #, phone number. Fast to sets the image corner radius property and blur processing, can be processed directly after the image. -
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Marvin is an image processing framework that provides features for image and video frame manipulation, multithreading image processing, image filtering and analysis, unit testing, performance analysis and addition of new features via plug-in.
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GraphicsMagic is an open source project that distributed under the GPL. It is an image processing application, and developed/compiled with Delphi 6/7 + Graphics32.
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CSSgram
CSS library for Instagram filters
...What we're doing is adding filters to the images, as well as applying color and/or gradient overlays via various blending techniques to mimic filter effects. This means less manual image processing and more fun filter effects on the web! We are using pseudo-elements (i.e. :before and :after) to create the filter effects, so you must apply these filters on a containing element (i.e. not a content-block like <img>. The recommendation is to wrap your images in a <figure> tag. If you use custom naming in your CSS architecture, you can add the .scss files for the provided styles within your project and then @extend the filter effects within your style definitions. ... -
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Eye
Process monitoring tool. Inspired from Bluepill and God
Process monitoring tool. Inspired from Bluepill and God. Requires Ruby(MRI) >= 1.9.3-p194. Uses Celluloid and Celluloid::IO. Eye is an image processing and analysis library for quickly analyzing image patterns and features, often used in computer vision tasks. -
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An IDE for people interested in Machine Vision/Image Processing. Written in Java, using JAI. It allows users to view image data and also provides a drag and drop environment that users can create/execute graphs of JAI operators.
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Neural Enhance
Super Resolution for images using deep learning
...Users can also train custom networks with perceptual and adversarial approaches for specialized datasets. The command-line tool supports batch processing, CPU or NVIDIA GPU execution, and Docker-based deployment for easier setup. -
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CuteReport
Qt based report solution
CuteReport is a report solution like Jasper Report, Crystal Reports or FastReport, but based on Qt framework. It can be easily used with any Qt application. In general, CuteReport consists of two parts: core library and template designer. Both are totally modular and theirs functionality can be easily extended by writing additional modules. It's totally abstract of used data and can use as storage: file system, database, version control systems, etc. The project's goal is to provide... -
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Arramooz Alwaseet Open Arabic Dictionary for morphological analyze. To be useful for Arabic language processing. This dictionary is derived from the Ayaspell Arabic spell checker.
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GIMP on OS X
GIMP (GNU Image Manipulation Program) is a free image editor
GIMP is an acronym for GNU Image Manipulation Program. Use GIMP as a simple paint program, an expert quality photo retouching program, an online batch processing system, a mass production image renderer, an image format converter, etc. GIMP is expandable and extensible; it can be augmented with plug-ins and extensions to do just about anything. The advanced scripting interface allows everything from the simplest task to the most complex image manipulation procedures to be easily scripted. -
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tracking.js
A modern approach for Computer Vision on the web
The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more, all that with a lightweight core (~7 KB) and intuitive interface. To get started, download the project. This project includes all of the tracking.js examples, source code dependencies you'll need to get started. Unzip the project somewhere on your local drive. The... -
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PyCNN
Image Processing with Cellular Neural Networks in Python
Image Processing with Cellular Neural Networks in Python. Cellular Neural Networks (CNN) are a parallel computing paradigm that was first proposed in 1988. Cellular neural networks are similar to neural networks, with the difference that communication is allowed only between neighboring units. Image Processing is one of its applications. -
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waifu2x-cpu-torch-vks
waifu2x fork without CUDA
The original is here: https://github.com/nagadomi/waifu2x Differences: - CPU only, no CUDA needed; - double-precision version; - GPU and CPU-trained models (on the fly conversion in memory); - adapted for Lua v5.2 (works with Torch 7 on x32 Ubuntu). 31-12-2016: - removed unneeded data copies, left from CUDA processing; - removed large duplicate files (see "ReadMe" before use). -
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...For the purpose of emphasizing very small temperature variations surrounding the thin flaws, different image processing algorithms were developed and included within the DCD software solution. Authors: Bogdan Belean and Mihaela Streza Acknowledgement The software solution was supported by the Romanian UEFISCDI research grant PNII-RU-TE-2014-4-1507 (IMAGEDENT).
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NeuralTalk2
Efficient Image Captioning code in Torch, runs on GPU
NeuralTalk2 is a Torch-based image-captioning system that generates natural-language descriptions for images with neural networks. It improves on the original NeuralTalk implementation through batching, GPU acceleration, and a more efficient training pipeline. The model combines convolutional neural network image features with a recurrent neural network language model. It supports fine-tuning the underlying CNN instead of relying only on fixed visual features. Training and evaluation tools... -
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TraceX
MatLab App for calculating fitting isotopic exchange profile data
MatLab App for calculating fitting isotopic exchange profile data. Developed for measuring self-diffusivity and effective surface exchange coefficient of ion conducting materials. Requires MatLab image processing toolbox If you use this tool for you research, please cite my PhD thesis: Cooper, S. J. Quantifying the Transport Properties of Solid Oxide Fuel Cell Electrodes. (Imperial College London, 2015). @phdthesis{SJCooper2015, author = {Cooper, S. J.}, number = {November}, publisher = {Imperial College London}, school = {Imperial College London}, title = {{Quantifying the Transport Properties of Solid Oxide Fuel Cell Electrodes}}, year = {2015} } -
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MeshLab
A processing system for 3D triangular meshes
MeshLab, a mesh processing system, for user assisted editing, cleaning, filtering and rendering of large unstructured 3D triangular meshes (typical 3D scanning meshes). The system relies for mesh processing tasks on the gpl VCG library (vcg.sf.net).
