標題: Moment-based image normalization with high noise-tolerance
作者: Gruber, M
Hsu, KY
交大名義發表
National Chiao Tung University
關鍵字: moments;image normalization;image centroid;pattern recognition;noise suppression
公開日期: 1-二月-1997
摘要: In this paper the effects of noise with nonzero mean on existing moment-based image normalization methods are studied. Several modifications to reduce noise sensitivity are presented and tested. They involve nonlinear mapping and fractional- and negative-order moments.
URI: http://dx.doi.org/10.1109/34.574793
http://hdl.handle.net/11536/750
ISSN: 0162-8828
DOI: 10.1109/34.574793
期刊: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Volume: 19
Issue: 2
起始頁: 136
結束頁: 139
顯示於類別:期刊論文


文件中的檔案:

  1. A1997WK72800005.pdf