机电工程技术2016，Vol.45Issue(3)：11-14,4.DOI:10.3969/j.issn.1009-9492.2016.03.003
基于竞选算法的图像多阈值分割技术
Multilevel Thresholding Segmentation Technique Based on Election Campaign Optimization Algorithm
摘要
Abstract
This paper presents a method to get the optimal threshold based on gray-level histogram transform, using the election campaign algorithm as the basis of rapid search the global optimal threshold algorithm. First,select multiple grey value for a group divided gray-level histogram into several parts, this histograms synthesized normal distribution function and multiplied by their weights, add them as a new distribution function. after that,the new function and the original histogram are normalized respectively and in the solution space solving the absolute value of difference between them,the smallest set of grey value as the image segmentation thresholds.关键词
灰度直方图/竞选算法/多阈值/正态分布Key words
gray histogram/Election Campaign Optimization Algorithm/multilevel thresholding segmentation/normal distribution分类
信息技术与安全科学引用本文复制引用
涂叙安,吕文阁..基于竞选算法的图像多阈值分割技术[J].机电工程技术,2016,45(3):11-14,4.基金项目
广东省科技计划项目 （）
