文章基本信息

标题：A Novel Approach for Computation of Q-Matrix
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作者：V.Sneha Latha ; Dr. C.Naga Raju
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：3(Version 1)
出版社：Ayushmaan Technologies
摘要：The Present paper compares the texture features based on cooccurrence and the new Matrix-method called “Q-matrix”, which measures the similarities of grey levels. The problem addressed is to determine which features optimize classification rate. Such features may be used in image segmentation, compression and in evaluation of statistical features. Though Q-Matrix is a new method for evaluating similarity measures, but large scale objective comparison has not been performed in the past. The main objective of this paper is to compare and evaluate statistical feature parameters on both the methods. Two types of textures are studied. The Experimental result indicates the good classification results for Q-matrix.
关键词：Co-occurrence features; Q-Matrix; texture features; similarity;measures; Statistical Features