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基于马氏距离的皮肤图像症状识别系统的设计
引用本文:王俊,胡越黎,曹家麟.基于马氏距离的皮肤图像症状识别系统的设计[J].电视技术,2006(1):86-89.
作者姓名:王俊  胡越黎  曹家麟
作者单位:上海大学,上海市电站自动化技术重点实验室,上海,200072;上海大学,上海市电站自动化技术重点实验室,上海,200072;上海电力学院,上海,200090
基金项目:上海市重点学科建设项目
摘    要:介绍了一种皮肤图像症状的自动识别系统,利用马氏距离图像识别的算法,经过图像颜色空间转换、自适应法求取阈值进行图像分割、数学形态学后处理和边缘检测、症状区域的轮廓提取和种子填充等图像处理过程,最后提取了皮肤样本的26个特征参数,计算皮肤样本距离黄褐斑、粉刺、黑头、雀斑4种症状的马氏距离,根据马氏距离最小原则对被测皮肤样本进行症状归类.

关 键 词:马氏距离  图像分割  边缘检测  轮廓提取  种子填充
文章编号:1002-8692(2006)01-0086-04
收稿时间:2005-12-12
修稿时间:2005年12月12

Design of Auto-recognition System for Skin Symptom Image Based on Mahalanobis Distance
WANG Jun,HU Yue-li,GAO Jia-lin.Design of Auto-recognition System for Skin Symptom Image Based on Mahalanobis Distance[J].Tv Engineering,2006(1):86-89.
Authors:WANG Jun  HU Yue-li  GAO Jia-lin
Institution:1.Shanghai power station automatic technology major lab, Shanghai University, Shanghai 200072, China;2. Shanghai University of Electric Power College, Shanghai 200090, China
Abstract:An auto- recognition system for skin symptom image is introduced in the paper. This system utilizes Mahalanobis distance algorithm. Its image processing includes color space transformation, image segmentation according to threshold by self- adapting method, image post-processing by mathematical morphology, edge detection, contour tracing, seedfill and so on. Then, 26 characteristic parameters are extracted and the Mahalanobis distances between the new sample and chloasma, comedo, blackhead and ephelis are calculated separately. According to the minimum principle, the new samples are classified into different symptoms.
Keywords:Mahalanobis distance  image segmentation  edge detection  contour tracing  seedfill
本文献已被 CNKI 维普 万方数据 等数据库收录!
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