计算机应用与软件2015，Vol.32Issue(5)：212-215,4.DOI:10.3969/j.issn.1000-386x.2015.05.051
基于改进混合蛙跳算法的图像阈值分割算法
IMAGE THRESHOLD SEGMENTATION ALGORITHM BASED ON IMPROVED SHUFFLED FROG LEAPING ALGORITHM
摘要
Abstract
To solve the defect of noise interference and over-segmentation the OTSU has in image segmentation, we propose an image threshold segmentation algorithm which is based on improved shuffled frog leaping (ISFL) algorithm.By coding the apple images, the algorithm selects be-tween-class variance as the fitness value of ISFL algorithm and searches the maximal segmentation threshold through ISFL, and this optimal threshold is then employed to segment Huaniu apple images with OTSU.By choosing four Huaniu apple images under four conditions of strong light, faintish strong light, faintish weak light and weak light for segmentation experiments, the results indicate that the image threshold segmentation algorithm based on ISFL algorithm has better image threshold optimisation performance compared with both OTSU and the image threshold segmentation algo-rithm based on shuffled frog leaping algorithm, it can effectively improve the segmentation effect of Huaniu apple images.关键词
最大类间方差法/改进混合蛙跳算法/花牛苹果图像/图像分割/阈值寻优Key words
OTSU Improved/shuffled frog leaping algorithm/Huaniu apple image/Image segmentation/Threshold optimisation分类
信息技术与安全科学引用本文复制引用
刘立群,火久元,王联国..基于改进混合蛙跳算法的图像阈值分割算法[J].计算机应用与软件,2015,32(5):212-215,4.基金项目
国家自然科学基金项目( 61063028 ) （ 61063028 ）
甘肃省科技计划资助项目(145RJYA288) （145RJYA288）
甘肃农业大学盛彤笙科技创新基金项目(GSAU-STS-1322) （GSAU-STS-1322）
中国博士后科学基金项目(2013M542398) （2013M542398）
兰州交通大学青年科学基金项目(2013032). （2013032）
