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研究生:徐正俊
研究生(外文):Cheng-chun Hsu
論文名稱:自動化舌診系統
論文名稱(外文):Automatic Tongue Diagnosis System
指導教授:蔣依吾蔣依吾引用關係
指導教授(外文):John Y. Chiang
學位類別:碩士
校院名稱:國立中山大學
系所名稱:資訊工程學系研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:中文
論文頁數:77
中文關鍵詞:舌診系統舌診中醫舌像
外文關鍵詞:tongue inspectiontongue diagnosistongue image
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中醫診斷精髓在於「辨證論治」,而辨證以望、聞、問、切四診為依據,舌診居四診之首,為中醫望診之重要項目。臨床上中醫師多依個人知識與經驗,透過眼睛觀察舌頭各部位顏色深淺、整體形態及唾液多寡等特徵而推斷病人身體主要病症,其結果易囿於知識、經驗、思維模式、診斷技巧、對顏色感知及詮釋等主觀判定影響,不同醫生對同一舌象可能做出互異判斷,重複性不佳。因此藉由科學方法輔助醫生進行診斷,循標準化判別程序,獲得可靠斷症結果,以提高中醫臨床應用價值,為一重要課題。藉由電腦判讀達到客觀化及定量化之目標,為中醫舌診電腦化研究是必然發展趨勢。
中醫師藉由觀察舌頭以進行辨證,舌面主要觀察重點為舌形、舌質和舌苔所構成之舌象。舌形病理計有中、胖、瘦及歪斜等;舌質病理中,舌色包括淡白、偏淡、淡紅、偏紅、紅、絳、黯及瘀斑、裂紋、齒痕及朱點等特徵;舌苔病理可區分為白、黃、黑、膩、厚、薄、剝或無等。觀察舌象通常由顯見之異常特徵著手,以做為辨證之依據。
自動化舌診系統審視焦點在於舌頭部位,首先須由患者嘴部擷取舌部影像。本論文經由分析舌頭、嘴唇及皮膚部位之RGB色彩分量表現,轉換為易於人眼認知之HSI色彩空間,藉由移除皮膚區域、矩形檢測、控制點偵測、平滑修正曲線及主動性輪廓以擷取舌部影像。由擷取之舌部影像做為後置處理舌面特徵之依據,如裂紋、瘀點、齒痕、朱點、舌苔及舌質等,經由RGB色彩分量變化,色調、飽和度及亮度等特性,藉由拉開對比、臨界值法及連通影像元件檢測,並量化特徵之數目、面積或長度,其結果提供中醫師作為臨床上斷症之參考。
The core of diagnosis in Chinese Medicine is “pattern identification/syndrome differentiation and treatment” with inspection, listening and smelling examination, inquiry, and palpation as the bases. Tongue diagnosis tops the four diagnoses and hence is crucial to the inspection diagnosis in Chinese Medicine. Clinically, doctors mostly rely on their own knowledge and experience when determining major lesions of a patient by observing the coloration, overall modalities, and volume of salivary on different parts of the tongue. As a result, the diagnosis tends to be limited by knowledge, experience, train of thought, and diagnostic techniques.The subjective determination is likely to be affected by the doctor’s color sensitivity and interpretation.Different doctors may come to drastically different judgments on the same tongue presentation with little overlap. Therefore, it is important to develop scientific methods that can help doctors diagnose based on standardized differentiation procedures and render reliable diagnoses in order to enhance the clinical application value of Chinese Medicine.The computerized automatic capture of characteristics shown on the images of the surface and the back of the tongue comprises breakup of the tongue image and capture of the tongue characteristics.The original tongue images first go through HSI color space conversion, detection of the control points inside and outside the surface of the tongue, curve smoothness modification and active contour model to capture images of the tongue. After that, the tongue shape, tongue fur, tongue body, and body fluid are captured from the breakup image of the tongue.
摘要 i
目錄 v
圖目錄 vii
表目錄 x
第一章 簡介 1
1.1中醫舌診 2
1.1.1中醫辨證 2
1.1.2舌與臟腑之關係 7
1.1.3舌診特徵 7
1.2相關研究 9
1.2.1基於HSI色調偵測 9
1.2.2基於極座標轉換 13
1.2.3基於分水嶺轉換 15
1.2.4基於知識背景 17
1.3研究概述 20
第二章 理論基礎 21
2.1 RGB模型 21
2.2中醫舌診 22
2.3 Snake模型 23
2.3.1原始Snake模型 23
2.3.2 Greedy Snake模型 28
第三章 研究方法 33
3.1取像環境 33
3.2擷取流程 33
3.3色彩校正 35
3.4利用HSI移除皮膚區域 37
3.5矩形檢測 38
3.6控制點偵測 40
3.7平滑修正曲線 41
3.8主動性輪廓修正曲線 42
3.9擷取舌面 44
3.10擷取特徵 45
3.10.1移除反光 45
3.10.2舌面裂紋 46
3.10.3舌面瘀斑 48
3.10.4舌面齒痕 49
3.10.5舌面朱點 50
3.10.6舌苔與舌質分離 51
第四章 實驗結果 52
第五章 結論與未來展望 61
5.1結論 61
5.2未來展望 61
參考文獻 62
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