Spearman’s rho modification in digital image processing

Abstract

Abstract The article presents an alternative Spearman’s rank correlation pattern as an innovative method in detecting the edges of an image by defining characteristic points of the image. Edge detection methods can be counted as the image processing stage following the implementation of the “initial” image processing, which includes: use of filters such as low-pass or high-pass, wavelet transform, etc. In this article hitherto known edge detection algorithms will be replaced with image ranking method. The first chapter of this work contains an analysis of the current knowledge on the ranking of the image. The operation of the Spearman rho algorithm together with its various configurations and the comparison of the two methods studied are presented in turn. Next, the modification of the Spearman rho pattern is presented along with the justification for the use of such a transformation. The same chapter also presents the effects of the algorithm, comparing it with known image ranking methods. The next stage of works consisted in developing a method for the interpretation of the results obtained. In the last chapter of the work, the obtained test results were summarized and analysed.