Piecewise Least Squares Algorithm for Curve Fitting

This program implements piecewise least squares algorithm for curve fitting, enabling segmented fitting of models to enhance accuracy and precision through data partition optimization.

MATLAB Image Segmentation: Techniques and Implementation

Image segmentation is the process of partitioning digital images into segments (sets of pixels, also known as superpixels). This technique simplifies and/or transforms image representation to make it more meaningful and easier to analyze [1][2]. Image segmentation is commonly used to locate objects and boundaries (lines, curves, etc.) by assigning labels to each pixel such that pixels with same labels share specific characteristics. Implementation approaches include thresholding, region-growing, and clustering algorithms.