计算机工程与应用2012，Vol.48Issue(7)：169-171,3.DOI:10.3778/j.issn.1002-8331.2012.07.044
结合遗传算法的局部最小误差孔穴图像分割法
Partial minimum error thresholding method of cavity image combined with genetic algorithm
摘要
Abstract
According to the advantages and disadvantages of the genetic algorithm and the minimum error thresholding method, a partial minimum error thresholding method of cavity image combined with genetic algorithm is developed by improving and combining genetic algorithm with minimum error thresholding method. This method uses the partial information of the cavity image to confirm the best threshold range, and uses simulated annealing algorithm to adjust the individual fitness degree, thus the premature convergence is avoided and the operation speed is improved. The results show that this method can segment the cavity image fast and accurately, and it is an effective method of cavity image segmentation.关键词
阈值分割/最小误差法/遗传算法/局部阈值/孔穴图像Key words
threshold segmentation/minimum error thresholding method/genetic algorithm/local threshold/cavity image分类
信息技术与安全科学引用本文复制引用
孙鹏飞,任洪娥,董本志..结合遗传算法的局部最小误差孔穴图像分割法[J].计算机工程与应用,2012,48(7):169-171,3.基金项目
国家自然科学基金(No.30972314) （No.30972314）
国家林业局"948"创新项目(No.2006-4-c03) （No.2006-4-c03）
东北林业大学研究生科技创新项目(No.GRAM09). （No.GRAM09）
