%0 Journal Article %T Laplace watershed segmentation based on minimum energy
基于能量最小的拉普拉斯流域分割算法 %A FENG Hui-jun %A CHEN Bin %A ZHAO Xiang-hui %A XIA FanChengdu Institute of Computer Application %A Chinese Academy of Sciences %A Chengdu Sichuan %A China %A
冯慧军 %A 陈斌 %A 赵向辉 %A 夏凡 %J 计算机应用 %D 2009 %I %X Because laplace watershed segmentation on image edge is not very effective. Based on the energy regional concentration theory, the authors defined a function to measure area differences. When the difference between two regions is greater than any one of them, this is a border lie between the two regions; otherwise they belong to the same region, they should merge into one. Through the experiment under vs2008, the authors split butterfly specimens into four parts, marked different regions by using different colors. Experiment demonstrates the method has good effect, and also less time-consuming. %K difference %K Laplace pyramid %K watershed segmentation %K image segmentation
差异度 %K 拉普拉斯金字塔 %K 流域分割 %K 图像分割 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=04CDD5F3C1F9FC297B4ADFFC807E8AC3&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=0B39A22176CE99FB&sid=8C5DE51F0A009A0F&eid=1A033C02510EFBE6&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9