Texture information in run-length matrices
Publication in refereed journal

香港中文大學研究人員

引用次數
替代計量分析
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其它資訊
摘要We use a multilevel dominant eigenvector estimation algorithm to develop a new run-length texture feature extraction algorithm that preserves much of the texture information In run-length matrices and significantly improves image classification accuracy over traditional run-length techniques. The advantage of this approach is demonstrated experimentally by the classification of two texture data sets, Comparisons with other methods demonstrate that the run-length matrices contain great discriminatory information and that a good method of extracting such information is of paramount importance to successful classification.
著者Tang XO
期刊名稱IEEE Transactions on Image Processing
出版年份1998
月份11
日期1
卷號7
期次11
出版社IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
頁次1602 - 1609
國際標準期刊號1057-7149
電子國際標準期刊號1941-0042
語言英式英語
關鍵詞pattern classification; run-length matrix; texture analysis
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence; COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE; Engineering; Engineering, Electrical & Electronic; ENGINEERING, ELECTRICAL & ELECTRONIC

上次更新時間 2020-25-09 於 01:18