计算机工程与应用2012，Vol.48Issue(8)：194-196,229,4.DOI:10.3778/j.issn.1002-8331.2012.08.055
人工蜂群算法在图像分割中的应用研究
Artificial bee colony algorithm based research on image segmentation
摘要
Abstract
In order to segment images exactly and quickly, a new method on image segmentation is proposed, which integrates Artificial Bee Colony (ABC) algorithm, gray morphology and two-dimensional Otsu method. In this method, close operation in gray morphology is applied to reduce image noise. Image thresholds are regarded as bees and the fitness function of ABC algorithm is designed by two-dimensional Otsu method. The best threshold is approached in parallel via the division of labor, cooperation and information sharing of employed bees, onlookers and scouts. Experimental results indicate that when the method is applied to infrared image or SAR image, it can provide the consequent analysis and processing with more suited segmented targets.关键词
人工蜂群算法/灰度形态学/二维Otsu/图像分割Key words
Artificial Bee Colony(ABC) algorithm/ gray morphology/ two-dimensional Otsu/ image segmentation分类
信息技术与安全科学引用本文复制引用
梁建慧,马苗..人工蜂群算法在图像分割中的应用研究[J].计算机工程与应用,2012,48(8):194-196,229,4.基金项目
国家自然科学基金(No.60803088,10974130) （No.60803088,10974130）
中央高校基本科研业务费专项资金重点项目(No.GK200901006) （No.GK200901006）
陕西省青年科技新星项目(No.2011kjxx17). （No.2011kjxx17）
