%0 Journal Article
%T Image Segmentation of Multilevel Thresholding Based on Spectral Clustering<br>基于谱聚类的多闭值图像分割方法
%A 邹小林
%A 陈伟福
%A 冯国灿
%A 刘志勇
%A 汤鑫
%J 计算机科学
%D 2012
%I 
%X The thresholding is an important form of image segmentation and is used in many applications that involve image processing and object recognition. hhus, it is crucial to how to acquire a threshold of image segmentation. A novelmultilevel thresholding algorithm was presented in order to improve image segmentation performance at lower computational cost. hhe proposed algorithm determines the thresholdings by spectral clustering algorithm called Dcut that uses a new similarity function. hhe weight matrices used in evaluating the graph cuts arc based on the gray levels of an image, rather than the commonly used image pixels. For most images, the number of gray levels is much smaller than the number of pixels. Therefore, proposed algorithm occupies much smaller storage space and requires much lower com- putational costs and implementation complexity than other graph-based image segmentation algorithms. A large number of examples were presented to show the superior performance by using the proposed multilevel thrcsholding algorithm compared to existing thresholding algorithms.
%K Image thresholding segmentation
%K Multilevel thresholding
%K Spectral clustering
%K Dcut<br>图像阂值分钊，多阂值，谱聚类，Dcut
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D5B7C4A24E11D7BA6F39AECC2AEE321B&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=38B194292C032A66&sid=28F9D9CF04F424FF&eid=FBA00558C57D9C11&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0