An Image Filtering Model Based On Content And Rough Compatibility Relation
This paper introduces an image content filtering model based on Clustering and Rough Compatibility Relation. In order to reduce the influence by lighting, a new Gamma correction method is used to adjust the pixel values. This filtering model use a TLHS color model that improve on the saturation arithmetic based on GLHS color model. TLHS color model has a steady skin color clustering with great efficiency. And use a new image segment method combines FCM clustering arithmetic and rough set theory. At first, an information table reflecting the relation of space segmentation is constructed according to the FCM clustering result under different clustering numbers. Secondly the difference degree between objects is confirmed by value reduction and getting the power value of attribute. At last, the α consistent relation under the rough set is defined and the image is divided into segments.
Content Filtering Skin Color Model Gamma Correction Rough Set theory
Zhang Xuemei Zhu Jinjun
Hebei University of Science and Technology,Shijiazhuang 050054,China
国际会议
西安
英文
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）