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Proceedings Paper

Small object detection using morphological filtering and multiresolution analysis with application to microcalcification detection in mammograms
Author(s): Lulin Chen; Chang Wen Chen; Kevin J. Parker
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Paper Abstract

In this paper, we propose a Laplacian matched filter based approach for small object detection using gray scale morphological filtering combined with wavelet-based multiresolution analysis. This multiresolution matched filter based detection includes two stages: prewhitening processing and matched filter detection fusion. The gray scale morphological filters are used as prewhitening filters. The wavelet transform relates directly the Laplacian matched filters with multiresolution analysis. Preliminary tests of a small object detection on simulated narrow band clutter and microcalcification detection from mammographic images show that the proposed approach is capable of a tool for small object detection without explicit assumptions about image background and noise statistics. A general form for whitening filtering and adaptive thresholding unified as the local operation transformation (LOT) is also presented.

Paper Details

Date Published: 26 February 1997
PDF: 12 pages
Proc. SPIE 2962, 25th AIPR Workshop: Emerging Applications of Computer Vision, (26 February 1997); doi: 10.1117/12.267828
Show Author Affiliations
Lulin Chen, Univ. of Rochester (United States)
Chang Wen Chen, Univ. of Rochester (United States)
Kevin J. Parker, Univ. of Rochester (United States)

Published in SPIE Proceedings Vol. 2962:
25th AIPR Workshop: Emerging Applications of Computer Vision
David H. Schaefer; Elmer F. Williams, Editor(s)

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