Edge Detection of an Image based on Bi-Level Histogram Equalization and Ant Colony Optimization Technique
作者单位：Dept. of ISESiddaganga Institute of Technology Dept. of ISER N S Institute of Technology
会议名称：《2012 International Conference on Computer Technology and Science(ICCTS 2012)》
会议日期：2012年
学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程]
关 键 词：ACO Bi-Level Histogram Equalization Brightness Preserving Dynamic Fuzzy Histogram Equalization Contrast enhancement edge detection
摘 要：This paper describes a novel approach for edge detection of an image which is based on Ant Colony Optimization （ACO）,Bi-Level histogram equalization and also Brightness Preserving Dynamic Fuzzy Histogram *** query image is taken in gray scale form and the Bi-Level Histogram Equalization is applied for enhancing the contrast of the *** is done since the contrast enhancement gives the better distinction between the brightness of background and the foreground of objects especially in low contrast *** ACO is used for edge detection of a Bi-Level Histogram Equalized *** performance of the proposed approach is demonstrated with the help of experimental *** results show that our approach is better than other techniques.