Tongue Image Analysis for Automatic Diagnostic System

Autor: Chieh-hsuan Wang, 王節宣
Rok vydání: 2011
Druh dokumentu: 學位論文 ; thesis
Popis: 99
The essence of Chinese medicine is "syndrome differentiation", the differentiation to look, smell, and asked, cutting by means of four diagnostic, according to the "combination of all" principle, integrated various types of messages, to be analyzed and summarized, to review the causes, identify sick to explain the pathogenesis, treatment principles established, and the prognosis of outcome such purposes. Tongue is one of the important items in Traditional Chinese Medicine by inspection. Internal state of the tongue is a mirror of the body reaction, the internal organs of tongue lesions may change that, tongue or through the observation of the tongue in vivo state of discovery. However, interpretation of the traditional tongue diagnosis is often subjective and determined by the physician, with experience and the prevailing environmental factors, the lack of objective indicators, the study of repeatability can not achieve the requirements, so as to achieve the objective of tongue diagnosis, and quantification of objectives, Tongue computerized research as inevitable trend of development. This thesis is based on Traditional Chinese Medicine Tongue, Tongue in order to achieve automatic diagnosis system, an effective segmentation of the tongue edge detection is very important. We mainly use HSL’s Luminance of gray-scale image and automatically selects the Otus’s method with the cutting edge. We use cutting the tongue, and after the separation of tongue body and tongue coating color analysis to facilitate, and for the tongue to color quantization. Then we use Color Threshold and follow Traditional Chinese medicine of tongue diagnosis to color’s define that will define the quantitative value of tongue, to facilitate the acquisition on our tongue. Then after that, use the tongue to get the color analysis, and Traditional Chinese medicine tongue diagnosis on tongue for color definition. We will also test the color and definition that will be the distance between each color classification, and the ratio after the decision to classify the color of tongue, according to analysis results to identify corresponding pathology.
Databáze: Networked Digital Library of Theses & Dissertations