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DexA1948 / repository
This repository contains my codes reports for my fifth-semester course of Image Processing. I have used OpenCV in python to do simple image processing tasks such as image enhancement, grayscale conversion, masking, thresholding, High-pass and Low-pass filters in spatial and frequency domain, Fourier transformations etc. These codes are created using Colab Notebooks hence the .ipynb format. I haven't dwelled much into Image detection and Object Recognition right now but will surely be following up on those topics.
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This repository contains my codes reports for my fifth-semester course of Image Processing. I have used OpenCV in python to do simple image processing tasks such as image enhancement, grayscale conversion, masking, thresholding, High-pass and Low-pass filters in spatial and frequency domain, Fourier transformations etc. These codes are created using Colab Notebooks hence the .ipynb format. I haven't dwelled much into Image detection and Object Recognition right now but will surely be following up on those topics.
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rixscx /
This repository contains Jupyter Notebooks covering various computer vision tasks using OpenCV and Matplotlib, including Sobel Edge Detection, Gaussian Blurring, Gabor Filtering, Laplacian Edge Detection, Fourier Transform, and Non-Maximum Suppression.
39/100 health