Computer Vision: Defect Detection | Summer 2022
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Updated
May 24, 2024 - Python
Computer Vision: Defect Detection | Summer 2022
Sobel Filter Verilog implementation
This website can be used to convert grayscale images and videos to colour.
This project is a real-time traffic sign recognition system built using Python, OpenCV, and a pre-trained CNN model, capable of detecting and recognizing traffic signs from images.
Image Processing using Python(Open cv)
Repository showcasing image compression with PCA for grayscale and colored images, featuring manual PCA implementation and eigenface exploration.
Image Processing Pipeline: Enhance, rotate, extract features, and segment characters in images for text recognition and enhancement.
Classifying the Blur and Clear Images
A Matlab implementation accompanying the paper "Statistical Inference on Grayscale Images via the Euler-Radon Transform".
PixelShift is a simple Image Converting website created using Flask that can convert Images to PNG, JPG, JPEG, WEBP, BMP, TIF, TIFF, and Grayscale also.
Attempt at image thresholding with OpenCV and Google Colab
Mandelbrot set topology
In the normal state, the images in this gallery appear in grayscale. When you hover over them, the colors are restored.
Implementation of digit recognition using the MNIST dataset. Train a model on grayscale handwritten digit images to accurately classify and predict numerical values of unseen digits.
This project focuses on implementing a machine learning model for fashion image classification using the Fashion MNIST dataset.
Image manipulation is to change the color of the image to create interesting visual effects
A library for working with #images such as #resize #grayscale #save #convert on dotnet
Conditional Generative Adversarial Networks for Image Colorization
Command-line PNG Image Editor in C++11, with grayscaling, illinifying, spot light creation and watermarking support.
Image Transformation using C++ and OOPS.
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