Genetic snake for medical ultrasound image segmentation

Abstract

Active contour, due to acceptable results in the field of image segmentation, has attracted more attention in the last several decades. However, the low quality and the presence of noise in medical images, particularly ultrasound images have also created some limitations for this method, such as Entrapment within the local minima and adjustment of the contour coefficients. In this paper, we present a segmental algorithm combined active contour and genetic algorithm to remove these limitations and bring some improvements to the segmentation outcome. The experimental results show that our proposed algorithm has an acceptable accuracy. © 2011 Springer-Verlag.