Minimum Distance Calculation Between 2 Pixel Groups

This package contains code and test files for calculating minimum Euclidean distance between two sets of pixels. The implementation computes the shortest distance between the pixel groups while returning both the distance measurement and the coordinates of the nearest pixels. The included files are: test_min_distance5a.tif, CONTENTS.M, euclidean_distance.m, test_calculate_min_distance.m, test_min_distance1a.tif, test_min_distance1b.tif, test_min_distance2a.tif, test_min_distance2b.tif, test_min_distance3a.tif, test_min_distance3b.tif, test_min_distance4a.tif, test_min_distance4b.tif, calculate_min_distance.m, and test_min_distance5b.tif. The Euclidean distance calculation is a fundamental method for measuring distance between vectors in multidimensional space. The algorithm works by calculating the square root of the sum of squared differences between corresponding vector components. Smaller Euclidean distances indicate higher similarity between vectors, making this technique valuable in image processing and machine learning applications. The implementation likely uses matrix operations to efficiently compute pairwise distances between all pixels in both groups before selecting the minimum value. Key functions include: -[euclidean_distance.m] likely contains the core distance formula implementation using vector norms -[calculate_min_distance.m] probably handles pixel group processing and coordinate tracking -[test_calculate_min_distance.m] appears to be the main validation script testing various pixel configurations -The .tif files serve as test images containing sample pixel groups for algorithm verification