| Autor: |
Blot, Lilian, Davis, Anne, Holubinka, Mike, Martí, Robert, Zwiggelaar, Reyer |
| Předmět: |
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| Zdroj: |
EURASIP Journal on Applied Signal Processing; Jan2002, Vol. 2002 Issue 3, p736-745, 10p |
| Abstrakt: |
Quality control in mammography is based upon subjective interpretation of the image quality of a test phantom. In order to suppress subjectivity due to the human observer, automated computer analysis of the Leeds TOR(MAM) test phantomis investigated. Texture analysis via grey-level co-occurrence matrices is used to detect structures in the test object. Scoring of the substructures in the phantom is based on grey-level differences between regions and information from grey-level co-occurrence matrices. The results from scoring groups of particles within the phantom are presented. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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