计算机与数字工程2019，Vol.47Issue(4)：930-932,1000,4.DOI:10.3969/j.issn.1672-9722.2019.04.037
基于遗传算法的自适应图像分割技术研究
Research on Adaptive Image Segmentation Technique Based on Genetic Algorithm
摘要
Abstract
Image segmentation is a key factor in reestablishing digital human. The traditional image segmentation method is in?efficient and has severe information loss. What's more,the segmentation accuracy is highly low. In order to solve these problems,an improved 2-population genetic algorithm based on non-local similarity regularization is proposed. The segmentation results show that the algorithm has high stability and accurate segmentation effect,and greatly reduces computation complexity of the genetic al?gorithm.关键词
数字人/图像分割/遗传算法/非局部相似正则化Key words
digital human/image segmentation/genetic algorithm/non-local similarity regularization分类
信息技术与安全科学引用本文复制引用
李晓芳,尹福成..基于遗传算法的自适应图像分割技术研究[J].计算机与数字工程,2019,47(4):930-932,1000,4.基金项目
国家自然科学基金面上项目(编号:61170093)资助. （编号:61170093）
