Equivalence Relation Between Intersecting Cortical Model and Binary Mathematic Morphology in Image Processing

Abstract

Biologically inspired image/signal processing like the intersecting cortical model (ICM) and mathematic morphology is described. Under certain operations, the parallel pulse transmission characteristic of ICM in image processing is equal to the erosion/dilation operation of binary mathematic morphology. Granulometry, binary image thinning, edge detection and hole filtering algorithms based on ICM are proposed to further certify the equivalent relation between ICM and mathematic morphology in binary image processing. And the results show that ICM can gives equivalent result as mathematic morphology operation in binary image processing.