Locating and Identifying Extremes in Multidimensional Matrices

This document introduces a highly useful and straightforward functionality - a MATLAB function specifically designed for identifying and locating extreme values in multidimensional matrices. This function is particularly valuable in image processing applications where it facilitates various operations. Its simplicity and practical utility make it a favored tool among many users. The implementation typically involves using MATLAB's built-in functions like max() and min() for value detection combined with find() or ind2sub() for position identification. For multidimensional arrays, the function can handle each dimension separately or use linear indexing approaches. In image processing contexts, this function helps detect intensity peaks, local maxima/minima in 3D volumetric data, or feature points in multidimensional datasets. The algorithm efficiently processes matrices of any dimension by iterating through array dimensions while maintaining computational efficiency through vectorized operations. Whether for academic research or practical applications, this MATLAB function serves as an indispensable tool for matrix analysis. Let's explore and learn how to utilize this MATLAB function to solve extreme value localization problems in multidimensional matrices!