A comparative study of texture features from different texture images

被引：0

作者：

Agatheeswaran, A. ^{[1
]}

Zhang, H. D. ^{[1
]}

Zheng, Y. ^{[1
]}

机构：

[1] Eastman Kodak Co, Hlth Grp, CAD Div, San Jose, CA 95134 USA

来源：

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY | 2006年 / 1卷

关键词：

Texture features; Gray tone spatial dependence (GTSD) matrices; Gray level run length (GLRL) matrices; Rubber band straightening transform (RBST); Rubber band radiating straighten transform (RBRST);

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper, texture features are used to classify mammographic tissue as normal or abnormal The performance of the texture features extracted from three different texture images is compared. One of the texture images used in this paper is a rectangular region of interest (ROI). The other two texture images are extracted from the region surrounding the segmented area (RSSA) in the ROI. One of these RSSA methods is new and is proposed in this paper. It is called rubber band radiating straighten transform (RBRST). The performance of this new method is measured using Az - the area under the receiver operating curve (ROC). The texture features extracted from RBRST method has better performance than texture features from other two methods.

引用

页码：331 / 333

页数：3

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