MATHEMATICAL REPRESENTATION OF IMAGE PROCESSING USING DATA SEGMENTATION

Abstract

Segmentation divides an image into its constituent areas or objects. The degree of detail to which this division brought depends on the task being to solve. In other words, segmentation should be stop when objects or areas of interest detected. For example, in the task of automated control of Assembly of electronic equipment components, it is of interest to analyze images of manufactured products in order to identify certain defects, such as the absence of components or the rupture of contact tracks on the Board. Therefore, it does not make sense to perform segmentation smaller than the level of detail that is necessary to detect such defects.