COLOR IDENTIFICATION IN DERMOSCOPY IMAGES USING GAUSSIAN MIXTURE MODELS

被引：0

作者：

Barata, Catarina ^{[1
]}

Figueiredo, Mario A. T. ^{[2
]}

Emre Celebi, M. ^{[3
]}

Marques, Jorge S. ^{[1
]}

机构：

[1] Inst Super Tecn, ISR, Lisbon, Portugal

[2] Inst Super Tecn, IT, Lisbon, Portugal

[3] Louisiana State Univ, Shreveport, LA 70803 USA

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2014年

关键词：

Melanoma; Dermoscopy image analysis; color detection; Gaussian mixtures models; ABCD RULE; DERMATOSCOPY; RECOGNITION; SYSTEM;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Development of Computer Aided Diagnosis systems that mimic the performance of dermatologists when diagnosing dermoscopy images is a challenging task. Despite the relevance of color in the diagnosis of melanomas, few of the proposed systems exploit this characteristic directly. In this paper we propose a new methodology for color identification in dermoscopy images. Our approach is to learn a statistical model for each color using Gaussian mixtures. The results show that the proposed method performs well, with an average Spearman correlation of 0.7981, with respect to a human expert.

引用

页数：5

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