激光技术2016，Vol.40Issue(2)：296-302,7.DOI:10.7510/jgjs.issn.1001-3806.2016.02.031
基于相位一致性改进的活动轮廓分割模型
Improved active contour segmentation model based on phase consistency
摘要
Abstract
In order to realize rapid and accurate segmentation of nodular tissue in thyroid ultrasound images and overcome the effects of uneven gray distribution and fuzzy boundary of images on segmentation results , an improved active contour segmentation model based on phase congruency was proposed .First, a new speed function was constructed by means of the principle of phase congruency edge detection .It not only made up the defect of edge damage due to filter processing during gradient operator edge detection but also controlled curve evolution rate flexibly .After that, the speed function was introduced to the energy term of active contour model without edge to avoid the problem of weight distribution in the linear combination and have global segmentation ability .Through theoretical analysis and experimental verification , the relative difference of the improved model is less than 1% and the running time is less than that of the comparison models .The results show that the new model achieves accurate segmentation of image with uneven gray distribution and the efficiency of segmentation is improved .关键词
图像处理/甲状腺超声图像分割/活动轮廓模型/相位一致性/速度函数Key words
image processing/thyroid ultrasound image segmentation/active contour model/phase consistency/speed function分类
信息技术与安全科学引用本文复制引用
郑伟,张晶,李凯玄,郝冬梅..基于相位一致性改进的活动轮廓分割模型[J].激光技术,2016,40(2):296-302,7.基金项目
河北大学医工交叉研究中心开放基金资助项目(BM201103) （BM201103）
