{"title":"Genetic algorithm for edge extraction of glomerulus area","authors":"Jun Zhang, Hong Zhu, Xueming Qian, Tao Huang","doi":"10.1109/ICIA.2004.1373383","DOIUrl":null,"url":null,"abstract":"The automatic analysis of kidney-tissue image is an important subsystem in the computer aided diagnosis system of kidney disease. In this subsystem, the correct extraction of glomerulus is an important premise to the exact analysis of kidney-tissue image. A glomerulus edge extraction method based on genetic algorithm (GA) is proposed by considering complex characteristics of the image. Firstly, different scale binary images are obtained by adjusting the parameters of LOG filter. Secondly, the crude spline curve fitting for the glomerulus area boundary is got by genetic algorithm based on the small-scale binary image. Thirdly, elaborate adjustment of spline fitting curve is performed according to more boundary information of large-scale binary image to get the optimal spline curve. Finally, the glomerulus area can be extracted correctly according to the fitting curve. Experimental result indicates high precision of glomerulus edge extraction from the kidney-tissue image.","PeriodicalId":297178,"journal":{"name":"International Conference on Information Acquisition, 2004. Proceedings.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Acquisition, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIA.2004.1373383","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
The automatic analysis of kidney-tissue image is an important subsystem in the computer aided diagnosis system of kidney disease. In this subsystem, the correct extraction of glomerulus is an important premise to the exact analysis of kidney-tissue image. A glomerulus edge extraction method based on genetic algorithm (GA) is proposed by considering complex characteristics of the image. Firstly, different scale binary images are obtained by adjusting the parameters of LOG filter. Secondly, the crude spline curve fitting for the glomerulus area boundary is got by genetic algorithm based on the small-scale binary image. Thirdly, elaborate adjustment of spline fitting curve is performed according to more boundary information of large-scale binary image to get the optimal spline curve. Finally, the glomerulus area can be extracted correctly according to the fitting curve. Experimental result indicates high precision of glomerulus edge extraction from the kidney-tissue image.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
