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題 名 | 利用影像處理技術對舌苔性質作定量分析之研究=The Study of Quantitative Analysis for Textural Properties of Tongue Using Imaging Processing Techniques |
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作 者 | 邱創乾; | 書刊名 | 中醫藥年報 |
卷 期 | 16:1 1998.05[民87.05] |
頁 次 | 頁591-636 |
分類號 | 413.241 |
關鍵詞 | 舌診; 顏色; 紋理; 灰階相依矩陣; 傅利葉轉換; Tongue diagnosis; Chromatic; Textural; SGTDM; FPS; |
語 文 | 中文(Chinese) |
中文摘要 | 舌象乃是中醫師於診斷病情的重要資訊之一,但是到目前為止,舌診 不易以客觀標準觀察,其診斷的正確率往往取決於醫師的主觀經驗及當時 所在環境的各種因素,如患者姿勢不良時難以取得正確之觀察,醫師觀察 順序不當時難收迅速且全面之效果,光線控制不良時易使舌色生變,以及 光源之選擇標準不一等;除此之外,醫師寶貴的臨床經驗亦不易保留下 來。本研究的目的是使用高解析度彩色攝影系統記錄儲存舌影像,提供研 究及醫學教學使用,並將舌苔特性量化,藉以提供客觀的診斷標準,並結 合醫師的臨床觀察,對舌苔作定性及定量分析,以便探討中醫理論之舌與 臟腑的關係,達到診斷之客觀化及定量化的目標,其結果對中醫之基礎理 論研究有十分正面的價值及影響。為將舌象特性量化,我們提出一種新型 的舌象辨識法則,此法則乃基於舌體影像的顏色及空間紋理特性,將舌診 中的重要舌象性質加以量化,這些性質是舌苔的厚薄以及是否有膩苔、腐 苔存在。在本研究中,我們在顏色的判斷方面採用符合人眼感知方式之 HSL顏色模型(亦即色度、飽和度及亮度),而舌苔的厚薄是比較舌質及舌 苔的色差程度加以判斷。在舌苔性狀方面,膩苔及腐苔分別以灰階相依矩 陣所導出的特徵參數及對舌影像取傅利葉轉換後之頻域特徵值加以量 化,又以Contrast、Correlation及Ring作為特徵參數之選擇,並使用統計 上之檢定與型樣識別中之階層式演算方法,找出最佳之區別函數。所獲得 膩苔和腐苔之辨識率分別為77.3%和100%。 |
英文摘要 | The principles of traditional Chinese medical diagnosis are based on the information obtained from four diagnostic processes, which are viewing, learning, inquiring, and examining. Among those diagnostic processes mentioned above, the examination of tongue is one of the most important approaches for getting significant evidences in diagnosing the patient's health conditions. However, in the past, the correctness of tongue diagnosis was affected by the experience and knowledge of the doctors who adopted the traditional Chinese medical diagnosis. Also, environmental factors such as the difference of light sources and brightness had great influence to the doctors in making good diagnostic results through tongue. In this research, a novel recognition approach based on certain image processing techniques has been developed for the purpose of examining the coating properties of tongues. The chromatic-related algorithms are employed to identify the thickness of coating, The textural-related algorithms are used to detect grimy and crusted coatings. Algorithms for determining the chromatic-related properties of tongue are based on the HSL ((hue, luminance, saturation) model since the way it represents the colors is very suitable for describing the colors found in tongue, especially when the substance is covered by coating. From the textual point of view, the grimy and crusted coatings are described by certain features of SGTDM (spatial gray-tone dependence matrices) and FPS (Fourier Power Spectrum). The recognition rates for the grimy and crusted coatings are 77.3% and 100% respectively. Therefore, the knowledge of the tongue diagnosis can be kept by the computer for future reference both for research and education. |
本系統中英文摘要資訊取自各篇刊載內容。