计算机应用研究2012，Vol.29Issue(4)：1572-1574,1597,4.DOI:10.3969/j.issn.1001-3695.2012.04.104
改进的快速Otsu自适应分割算法及其应用
Improved fast adaptive Otsu segmentation algorithm & its application
摘要
Abstract
This paper introduced an improved Otsu algorithm for getting a good segmentation effect even if the histogram' s peak was not obvious for image segmenting. The algorithm took advantage of the prior knowledge about target and background to decrease classification difficult by clustering known background gray value, then achieved a satisfied threshold automatically through iterating procedure based on Otsu method. Finally, the target could be extracted by comparing every pixel' s gray value with the achieved threshold, and used it in iris image segmentation. From the segmentation results in eye image database, the algorithm' s performance on real-time and robustness is satisfied. The algorithm can be used in the real-time system of iris image segmentation.关键词
Otsu算法/阈值/类间方差/虹膜图像分割Key words
Otsu method/ threshold value/ between-class variance/ iris image segmentation分类
信息技术与安全科学引用本文复制引用
陈滨,田启川..改进的快速Otsu自适应分割算法及其应用[J].计算机应用研究,2012,29(4):1572-1574,1597,4.基金项目
山西省回国留学人员科研资助项目(2011-075) （2011-075）
山西省自然科学基金资助项目(2008011030) （2008011030）
太原市科技局大学生创新项目(2010) （2010）
