Search Results for "image algorithm" - Page 3
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Showing 104 open source projects for "image algorithm"
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This program takes snapshot of car license number plate and then recognize the text on it. It is based on the very elementary technique of templates matching. The algorithm takes an input image of the number plate (number plate should be dominant in the image) and after filtering the image, it performs region based operations. Then it tries to capture the characters regions in a processed binary image and with the aid of template matching outputs the string of number plate characters.
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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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This package includes a collection of MATLAB files which are designed to: 1. Given a calibration scan of the image of a point emitter with an engineered point spread function (PSF), 2. Perform a phase retrieval algorithm based on maximum likelihood estimation (MLE) of a phase aberration term which is added to the theoretical pupil function of the imaging system. 3. Use the phase-retrieved pupil function to perform single-emitter localization.
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SmartRoot
Semi-automated root image analysis software
SmartRoot is a semi-automated image analysis software which streamlines the quantification of root growth and architecture for complex root systems. The software combines a vectorial representation of root objects with a powerful tracing algorithm which accommodates to a wide range of image source and quality. The software supports a sampling-based analysis of root system images, in which detailed information is collected on a limited number of roots selected by the user according to specific research requirements. ... -
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TrackingExample
This project presents simple marker detection and 3D augmentation
This is a project demonstrating tracking of a marker consisting of 6 blobs placed on a black palette and drawing a virtual house on it. Detection of the marker and augmentation (drawing of the house) are done in real time. Image from almost any internet camera can be used. The program is using incremental tracking, in which the position of the marker in the previous frame is used to improve the detection. The homography calculation needed for the augmentation can be performed using 4 different methods: -Direct Linear Transform, -basic OpenCV algorithm -OpenCV RANSAC based algorithm -OpenCV Least-Median based algorithm. ... -
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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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Ncrypt
Text and image encryption and decryption software
This software provides a mean for users to encrypt and decrypt data in the form of text and images. The program follows a basic encryption algorithm that relies on mathematical properties of matrices, such as row operations, matrix multiplication, and invertible matrices . This program works by allowing the user to input a key in the form of a matrix, on which the program bases the encryption. The program then performs the encryption. The software only works in the scope of text files with a maximum of 150 characters, and image files with a maximum size of 128 x 128. -
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CRFasRNN
Semantic image segmentation method described in the ICCV 2015 paper
CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. Our work allows computers to recognize objects in images, what is distinctive about our work is that we also recover the 2D outline of objects. Currently we have trained this model to recognize 20 classes. This software allows you to test our algorithm on your own images – have a try and see if you can fool it, if you get some good examples you can send them to us. ... -
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This paper represent a development and deployment and/or Implementation of Optical Character Recognition (OCR) to translate images of typewritten or handwritten characters into electronically editable format by preserving font properties. OCR can do this by applying pattern matching algorithm. The Recognized characters are stored in editable format. Thus OCR make the computer read the printed documents discarding noise. Keywords- Optical Character Recognition, Image convert to character, Image cropping.
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CrypSten
A Hybrid Cryptosystem with Steganography DLL
A library written in Visual C# for encrypting a text message into an image file, and decrypting an image file to get the text message using Rijndael Algorithm, RSA Algorithm, and LSB Substitution Algorithm. -
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Plant Senescence Analysis
Accurate analysis of plant senescence by colour distortion corr
The analysis of leaf senescence is an important part for plant phenotyping, particularly under stresses. However, manual inspection is time consuming and its evaluation is subjective. Therefore objective valuation of plant senescence by color image analysis is desirable for high throughput plant phenotyping. The plant colors in images may not represent the original colors of plants due to imperfect camera lenses and camera settings. In this case, color analysis for the senescence estimation may result in significant error. In this method, we propose a novel algorithm to have the effects of both the color distortion correction and the deblurring for senescence analysis. -
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Object detection is usually a software-based monitoring algorithm that will signal, for example in the surveillance camera to begin capturing the event when it detects motion. In object tracking, the object is located and the moving object is followed. One of the fundamental steps in many computer based vision systems for object tracking and motion detection is real-time segmentation of moving regions in the image sequences.
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Facial Expression Recognition
Facial Expression Recognition System - Matlab source code
We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality reduction in input data while retaining those characteristics of the data set that contribute most to its variance, by keeping lower-order principal components and ignoring higher-order ones. -
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JS 2D barcode creation
Data Matrix, QR and Aztec barcode symbol creation by javascript
... + Creates Data Matrix in square or rectangular pattern. + Creates QR or micro QR bar code symbols. + Creates Aztec, compact Aztec or Aztec rune bar codes. + Scalable Vector Graphic or PNG/GIF pixel image output. + One short and compact program for all barcodes. + Automatic mode encoding and barcode size selection. + Algorithm could be easily adapted to individual requirements. + Free and open-source software program. – no size optimization for mixed data types in one symbol. – no handling of special codes like FNC1 or ECI. -
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Automatic 3D Coordinate Points Generator
The project aims at generating 3D coordinates from a set of 2D images
...The entire project is based on the principles of Photogrammetry. The subject of interest is embedded with patterns of retro-reflective dots. The reason that these dots were attached is that they appear very bright in the image if it is captured using flash. An auto-bar is used to define the coordinate system reference. The algorithm which performs this transformation is broken down to several steps. First step is converting the images to grayscale. Then detecting the retro-reflective dots by the “Polygon” approach. Same dots in different images were matched by Pattern Matching algorithm. ... -
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Ezys
Ezys 3D medical image registration program
Ezys is a non-linear 3D medical image registration program. Ezys fully exploits the parallel computing power of inexpensive commercial graphics processing units (GPU), resulting in a very fast and accurate program capable of running on desktop PCs and even some laptops. On these systems, non-linear image registrations take less than a minute to complete. Ezys implements a diffeomorphic inverse consistent image registration algorithm with a demons-style regularization based on a non-parametric free form deformation model. ... -
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FTF Library - C# / WPF
Flexible Tagged Format Library - C# / WPF version
Flexible Tagged Format (FTF) is a completely flexible storage format using human readable tags, and potentially support storing any type of data. This is the C# / WPF version. -
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Flexible Tagged Format (FTF) Library
Flexible Tagged Format (FTF) Library
Flexible Tagged Format (FTF) is a completely flexible storage format using human readable tags, and potentially support storing any type of data. -
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...Usually in an SMC framework there is a natural ordering of the states of the samples. The order typically depends on observations about the states or on the annealing setup used. In many applications (e.g., image jigsaw puzzle problems), all observations (e.g., puzzle pieces) are given at once and it is hard to define a natural ordering. Therefore, we relax the assumption of having ordered observations about states and propose a novel SMC algorithm for obtaining maximum a posteriori (MAP) estimate of a high-dimensional posterior distribution.
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Extract Objects from Image
Connected Component Labeling Algorithm - Extracting Objects From image
fast Connected Component Labeling Algorithm - java application - Extracting Objects From image -
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Octree Method For Particles
simulation of particles using an oct-tree
...the low-level "octets" can be distributed among a cluster of computers, organized in a grid. they don't have to send each other their whole dataset - only a zoomed out image of it. the further away, the more zoomed out. thus, i/o traffic is greatly reduced. combine this with the fact that it's an O(N) algorithm, and what you get is an accurate particle-based physics simulator whose simulation speed scales with the number of particles per compute unit even for VERY large particle counts and VERY large computing arrays. ... -
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CLAW is a C++ Library providing various tools in different domains, like a Tweener framework, Bézier curves manipulation, a map with multiple value types, a binary search tree container implemented as an AVL and an implementation of the sockets as std::stream. The library also includes a set of classes to easily load and write png, jpeg, gif files and other image formats. Finally, a part of the library is devoted to artificial intelligence in games and includes a generic alpha-beta algorithm. Each module is provided with an example program.
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PanGP
PanGP is a tool for quickly analyzing bacterial pan-genome profile.
PanGP is a tool for quickly analyzing bacterial pan-genome profile. It has integrated two kinds of sample algorithm, so that it could calculate the pan-genome profile of a population with dozens of or hundreds of strains at extremely low time-cost. At the same time, a user-friendly graphical interface was designed and the image about pan-genome profile could be drawn by PanGP directly. -
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HIPAcc
Heterogeneous Image Processing Acceleration (HIPACC) Framework
HIPAcc development has moved to github: https://github.com/hipacc HIPAcc allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well as competitive performance: the same algorithm description serves as basis for targeting different GPU accelerators and low-level languages.
