Operation system written in C# using CS2C
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Updated
Jun 25, 2017 - C#
Operation system written in C# using CS2C
Enhancing and Processing Images as per needed using Image Processing Techniques .
Model a game of checkers from a live video feed where the camera is not static.
Convolution and other super-patches (blur, sharpen)
纹理,灯光,阴影,法线地图,发光物体,环境遮挡,反射,折射等基础3D技术栈
Visual Studio extension that intelligently introduces new C# features into your existing codebase
OCR from scratch using Chars74 Dataset: http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/ applied to the case of Spanish car license plates or any other with format NNNNAAA. The hit rate is lower than that achieved by pytesseract: in a test with 21 images, 12 hits are reached while with pytesseract the hits are 17.
From images of cars in which their license plates have been labeled, and passing filters, their recognition is attempted by pytesseract . As there is not a single filter that works for all the licensess, it is tried with several filters and The license plate number that has been detected the most times is assigned.
A recognition licenses plates based in FindContours
Through the use of Contrast Limited Adaptive Histogram Equalization (CLAHE) filters, completed with otsu filters, a direct reading of car license plates with success rates above 70% and an acceptable time is achieved
Using together cv2's findcontours and Haarcascade license plate detection together with the application of an extensive set of filters
Collection of basic image processing algorithms for processing
A small and simple python image processor to apply, view and save a variety of different image filters like threshold, brightness, contrast, blur, sharpen, dilate, erode, edge detection and mirror. Modified images can also be saved. Can also be used using cmmand line arguments. This project was part of some of my university coursework.
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