ACM (Active Contour Model) image rapid segmentation method based on gray scale morphological energy method

Abstract

The invention discloses an ACM (Active Contour Model) image rapid segmentation method based on a gray scale morphological energy method. The segmentation method comprises the steps: firstly carrying out the gray scale corrosion and expansion calculation of an original image through a structural element, and obtaining a corrosion image and an expansion image; secondly building regional fitting energy comprising an evolution curve, the corrosion image and the expansion image, and introducing a level set function to the regional fitting energy to represent the evolution curve; adding distance rule item energy and length constraint item energy, and forming a total energy functional related with the level set function; finally solving the minimum value of the total energy functional through a steepest descent method, obtaining an evolution equation of the level set, continuously iterating the evolution equation through a finite difference method till the level set function reaches a stable state, and selecting points on a zero level set to form a segmented profile. The method can quickly and precisely segment an image with non-uniform gray scale, and is insensitive to an initial evolution curve. Moreover, the segmentation efficiency of the method is better than a conventional ACM based on local region fitting.

Description

technical field

[0001] The invention belongs to the technical field of image processing, and in particular relates to a method for rapidly segmenting an active contour model image based on a gray-scale morphology energy method. Background technique

[0002] The image segmentation method based on the active contour model has been widely used in the field of image processing. Active contour models are mainly divided into two categories: edge-based and region-based active contour models. The edge-based active contour model mainly relies on the boundary indicator function, and makes the evolution curve stop on the target boundary according to the change of the gradient information of the target boundary, but for weak or discontinuous edges, the segmentation effect is not ideal. The region-based active contour model uses image region descriptors to achieve image partitioning, the most representative of which is the Piecewise Constant (PC) model proposed by Chan and Vese, which i...

Images