Elliptic Object Features Eztraction and Measurement in Image Data Mining

摘要：

In image data mining, especially in mining of high dimensional association rules, extracting features of shape, color and texture is not enough for these tasks. All kinds of the features of object are often extracted. These object features of image include visual features, statistical features, and dimensional features and so on. This paper proposes an integrated method for object features extraction to meet the expression demand of high dimensional association rules. At last, the validity has been proven by an instance.

关键词： object features eztraction parameter measurement image data mining

作者: Fu Cheng You Yong Bin Zhang

作者单位: Information & Mechanical Engineering School Beijing Institute of Graphic Communication Beijing,China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 461-464

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）