Analysis of the Effects of Discrete Wavelet Compression on Automated Mammographic Mass Shape Classification
Document Type
Conference Proceeding
Publication Date
1999
Publication Title
Image Processing: Medical Imaging 1999: Proceedings of SPIE
Publisher
SPIE
Volume
3661
First page number:
1190
Last page number:
1195
Abstract
This pilot study investigates the effect of discrete wavelet compression on automated mammographic mass shape classification. Commonly used shape features are extracted from masses for uncompressed and compressed images. These features include radial distance mean, standard deviation, entropy, zero-crossing count, roughness index, area-ratio, and compactness. The effects of the compression on these features are analyzed. Next, linear discriminant analysis is used to appropriately weight the features, and a minimum Euclidean distance classifier is used to separate the mass shapes into three classes: round, nodular, and stellate. The classification results are compared between the uncompressed and compressed images.
Keywords
Classification--Computer programs; Diagnostic imaging; Image analysis; Image processing; Wavelets (Mathematics)
Disciplines
Electrical and Computer Engineering | Engineering | Signal Processing | Systems and Communications
Language
English
Permissions
Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.
Repository Citation
Bruce, L. M.,
Kalluri, R.
(1999).
Analysis of the Effects of Discrete Wavelet Compression on Automated Mammographic Mass Shape Classification.
Image Processing: Medical Imaging 1999: Proceedings of SPIE, 3661
1190-1195.
SPIE.