计算机工程与应用Issue(10)：206-210,5.DOI:10.3778/j.issn.1002-8331.1203-0387
胶囊内镜绒毛图像自动检测方法
Intestinal villi images detection in WCE examination video
摘要
Abstract
Wireless Capsule Endoscopy(WCE)has been introduced as a noninvasive color imaging technique for the inspection of the small intestine. In this paper, a method for detecting intestinal villi images in the WCE examination video is proposed. It is based on texture features of the image. The potential villi regions in the image are segmented, and reformed to rectangular areas by a geometric transform. Frequency of small stripes in the rectangle is applied as the intrinsic feature for villi bands, and classified the images by them. The experimental results reveal the proposed method performs better than the traditional texture operators, and is more suitable for clinical applications.关键词
胶囊内镜/绒毛图像/纹理特征/绒毛带Key words
capsule endoscopy/intestinal villi images/texture features/villi regions分类
信息技术与安全科学引用本文复制引用
张栋冰,兰义华,万金鑫,李明..胶囊内镜绒毛图像自动检测方法[J].计算机工程与应用,2013,(10):206-210,5.基金项目
国家自然科学基金（No.61102117）；连云港产学研联合创新基金项目（No.CXY1203）；连云港社会发展计划项目（No.SH1223）；淮海工学院自然科学基金（No.Z2011036）。 （）
