A multiresolution wavelet analysis of digital mammograms

C. H. Chen, Gwo-Giun Lee

研究成果: Conference contribution

5 引文 斯高帕斯(Scopus)

摘要

This paper discusses the significance of image segmentation via the combination of both statistical and nonstatistical methods based on the hierarchical framework of multiresolution wavelet analysis (MWA) and Gaussian Markov random fields (GMRF). Microcalculations and subtle mass regions are segmented via a fuzzy c-means (FCM) algorithm using localized features. For further enhancement, expected maximization and constrained optimization is applied to a Gibbs distribution defined from the FCM clustered image labels under a Bayesian framework. The effectiveness of this novel algorithm has been clearly illustrated by real mammographic images.

原文English
主出版物標題Track B
主出版物子標題Pattern Recognition and Signal Analysis
發行者Institute of Electrical and Electronics Engineers Inc.
頁面710-714
頁數5
ISBN(列印)081867282X, 9780818672828
DOIs
出版狀態Published - 1996 一月 1
事件13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
持續時間: 1996 八月 251996 八月 29

出版系列

名字Proceedings - International Conference on Pattern Recognition
2
ISSN(列印)1051-4651

Other

Other13th International Conference on Pattern Recognition, ICPR 1996
國家/地區Austria
城市Vienna
期間96-08-2596-08-29

All Science Journal Classification (ASJC) codes

  • 電腦視覺和模式識別

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