A histogram-based global thresholding method for image binarization

This repo includes; Image Negative, Logarithmic Transformation, Power-Law (Gamma) Transformation, Averaging Filter, Median Filter, Laplacian Filter, Sobel Gradiant, Histogram Equalization, DFT, Marr and Hildreth, Otsu Thresholding, Global thresholding

A web application that use python script for image segmentation Thresholding: Optimal thresholding, Otsu, and spectral thresholding global and local thresholding. Unsupervised segmentation using k-means, segmentation using region growing, agglomerative and mean shift method.

This lab introduces image segmentation techniques using global thresholding and Otsu's method; explore parameter tuning for Felzenszwalb and SLIC algorithms, adjusting scale, sigma, min_size, n_segments, and compactness parameters to optimize image segmentation results for different applications.