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glcm

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This is a thesis that I did to get a Bachelor's degree in Informatics at MDP University. On this repository you can use it for classification using the SVM method, SVM-GLCM, SVM-Color Moments, and SVM-GLCM-Color Moments by using multiple kernels such as linear, RBF, Polynomial, and sigmoid, some GLCM angles like 0, 45 , 90 and 135, the value of …

  • Updated Aug 5, 2020
  • Python

Brain Tumor Diagnosis using MRI is a machine learning project that detects brain tumors from MRI scans. It involves preprocessing steps like normalization and Gaussian filtering, followed by feature extraction using GLCM and feature selection using the BAT algorithm. An SVM classifier is then used to accurately classify the presence of tumors.

  • Updated Jul 17, 2025
  • Python

An implementation of a Presentation Attack Detection (PAD) system. This project extracts features in the Fourier domain and spatial domain from images and uses a k-Nearest Neighbors (k-NN) classifier to train a model to discriminate between genuine (real), spoofed (fake), and synthetically generated images.

  • Updated Aug 25, 2025
  • Python

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