Image Segmentation Program

This program employs sophisticated image segmentation techniques that enable precise object extraction from digital images. The core algorithm utilizes pixel classification methods and boundary detection approaches to accurately isolate objects from their backgrounds. Beyond basic segmentation capabilities, the program includes comprehensive image processing features such as resizing algorithms with interpolation methods, rotation transformations using affine matrices, and various filter implementations including Gaussian blur, median filtering, and edge detection kernels. Additionally, the program incorporates image enhancement functionalities to address common issues like motion blur through deconvolution techniques, noise reduction using adaptive filtering, and low-light correction via histogram equalization. The implementation includes thresholding functions, region-growing algorithms, and watershed transforms for robust segmentation. For developers working with image processing tasks, this program provides an efficient solution with well-documented API functions for integration into larger projects.