MATLAB Implementation of Image Segmentation Using Snake Method

This is an image segmentation program implemented using the snake (active contour) method. The program is developed and executed within the MATLAB environment. Image segmentation serves as a crucial image processing technique that partitions an image into multiple sub-regions, facilitating enhanced image analysis and comprehension. The snake method implementation requires careful selection of initial positions, as this choice directly impacts the accuracy and effectiveness of segmentation results. The algorithm typically utilizes energy minimization principles where contour evolution is governed by internal forces (contour smoothness) and external forces (image gradient information). In MATLAB implementation, key functions may include gradient calculation, contour initialization, and iterative energy minimization routines. Therefore, when utilizing this program, meticulous attention to initial position selection is essential to achieve optimal segmentation performance. The code likely involves parameters for controlling elasticity, stiffness, and convergence criteria to balance between contour regularity and boundary adherence.