A new application of texture unit coding to mass classification for mammograms

Yuan Chen, Chein I. Chang

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)

Abstract

Texture is one of important features of masses in mammograms. A recent texture unit-based texture spectrum approach, referred to as Texture Unit Coding (TUC) has shown promise in texture classification. This paper presents a new application of the TUC to mass classification in mammograms. The TUC generates a texture spectrum for a texture image that can be used to describe the characteristics of masses. It also develops an information divergence (ID)-based discrimination criterion to measure the discrepancy between two texture spectra, a concept yet to explore in texture analysis. The TUC along with ID are further applied to mass classification in mammograms where the MiniMammographic Database provided by the Mammographie Image Analysis Society (MIAS) is used for experiments.

Original languageEnglish
Pages (from-to)3335-3338
Number of pages4
JournalProceedings - International Conference on Image Processing, ICIP
Volume2
Publication statusPublished - 2004
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: 2004 Oct 182004 Oct 21

All Science Journal Classification (ASJC) codes

  • General Engineering

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