• Title/Summary/Keyword: Tongue region extraction

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Extraction of Face Type and Tongue Color Analysis for Diseases Diagnosis in Web-Based Environments (웹 기반 환경에서 질병 진단을 위한 얼굴형 추출 및 설색 분석)

  • Cho, Dong-Uk;Kim, Bong-Hyun;Lee, Se-Hwan
    • The KIPS Transactions:PartB
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    • v.14B no.2
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    • pp.71-80
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    • 2007
  • In this paper, We propose face type classification, tongue region extraction and tongue color analysis method for Oriental medicine diagnosis system to supply web based medical treatment information. This presents to construct system that takes super aging society and uses ocular inspection and longue diagnosis in web-based to embody this by an IT Technology as generalization and popularization of medical benefit are social requirement and supplies medical treatment information. Place that reflect living body signal of human body ordinarily and appear becomes iris or tongue, five sensory organs etc. This paper proposes classification of face type, extraction of five sensory organs for observing a person's shape and color among diseases diagnosis based on home health care that propose to develop and region extraction and color analysis etc, of tongue which intensively represents the bio-signals of human-beings. Finally, the effectiveness of this paper is verified by several experiments.

Systematic Approach to The Extraction of Effective Region for Tongue Diagnosis (설진 유효 영역 추출의 시스템적 접근 방법)

  • Kim, Keun-Ho;Do, Jun-Hyeong;Ryu, Hyun-Hee;Kim, Jong-Yeol
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.6
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    • pp.123-131
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    • 2008
  • In Oriental medicine, the status of a tongue is the important indicator to diagnose the condition of one's health like the physiological and the clinicopathological changes of internal organs in a body. A tongue diagnosis is not only convenient but also non-invasive, and therefore widely used in Oriental medicine. However, the tongue diagnosis is affected by examination circumstances like a light source, patient's posture, and doctor's condition a lot. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, segmenting a tongue region from a facial image captured and classifying tongue coating are inevitable but difficult since the colors of a tongue, lips, and skin in a mouth are similar. The proposed method includes preprocessing, over-segmenting, detecting the edge with a local minimum over a shading area from the structure of a tongue, correcting local minima or detecting the edge with the greatest color difference, selecting one edge to correspond to a tongue shape, and smoothing edges, where preprocessing consists of down-sampling to reduce computation time, histogram equalization, and edge enhancement, which produces the region of a segmented tongue. Finally, the systematic procedure separated only a tongue region from a face image with a tongue, which was obtained from a digital tongue diagnosis system. Oriental medical doctors' evaluation for the results illustrated that the segmented region excluding a non-tongue region provides important information for the accurate diagnosis. The proposed method can be used for an objective and standardized diagnosis and for an u-Healthcare system.

Coated Tongue Region Extraction using the Fluorescence Response of the Tongue Coating by Ultraviolet Light Source (설태의 자외선 형광 반응을 이용한 설태 영역 추출)

  • Choi, Chang-Yur;Lee, Woo-Beom;Hong, You-Sik;Nam, Dong-Hyun;Lee, Sang-Suk
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.181-188
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    • 2012
  • An effective extraction method for extracting a coated tongue is proposed in this paper, which is used as the diagnostic criteria in the tongue diagnosis. Proposed method uses the fluorescence response characteristics of the coated tongue that is occurred by using the ultraviolet light. Specially, this method can solved the previous problems including the issue in the limits of the diagnosis environment and in the objectivity of the diagnosis results. In our method, original tongue image is acquired by using the ultraviolet light, and binarization is performed by thresholding a valley-points in the histogram that corresponds to the color difference of tongue body and tongue coating. Final view image is presented to the oriental doctor, after applying the canny-edge algorithm to the binary image, and edge image is added to the original image. In order to evaluate the performance of the our proposed method, after building a various tongue image, we compared the true region of coated tongue by the oriental doctor's hand with the extracted region by the our method. As a result, the proposed method showed the average 87.87% extraction ratio. The shape of the extracted coated tongue region showed also significantly higher similarity.

Extraction of Tongue Region using Graph and Geometric Information (그래프 및 기하 정보를 이용한 설진 영역 추출)

  • Kim, Keun-Ho;Lee, Jeon;Choi, Eun-Ji;Ryu, Hyun-Hee;Kim, Jong-Yeol
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.11
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    • pp.2051-2057
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    • 2007
  • In Oriental medicine, the status of a tongue is the important indicator to diagnose one's health like physiological and clinicopathological changes of inner parts of the body. The method of tongue diagnosis is not only convenient but also non-invasive and widely used in Oriental medicine. However, tongue diagnosis is affected by examination circumstances a lot like a light source, patient's posture and doctor's condition. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, segmenting a tongue is inevitable but difficult since the colors of a tongue, lips and skin in a mouth are similar. The proposed method includes preprocessing, graph-based over-segmentation, detecting positions with a local minimum over shading, detecting edge with color difference and estimating edge geometry from the probable structure of a tongue, where preprocessing performs down-sampling to reduce computation time, histogram equalization and edge enhancement. A tongue was segmented from a face image with a tongue from a digital tongue diagnosis system by the proposed method. According to three oriental medical doctors' evaluation, it produced the segmented region to include effective information and exclude a non-tongue region. It can be used to make an objective and standardized diagnosis.

Extraction Method of Geometry Information for Effective Analysis in Tongue Diagnosis (설진 유효 분석을 위한 혀의 기하정보 추출 방법)

  • Eun, Sung-Jong;Kim, Jae-Seung;Kim, Keun-Ho;WhangBo, Taeg-Keun
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.522-532
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    • 2011
  • In Oriental medicine, the status of a tongue is the important indicator to diagnose the condition of internal organs in a body. A tongue diagnosis is not only convenient but also non-invasive, and therefore widely used in Oriental medicine. But tongue diagnosis has some problems that should be objective and standardized, it also exhaust the diagnosis tool that can help for oriental medicine doctor's decision-making. In this paper, to solve the this problem we propose a method that calculates the tongue geometry information for effective tongue diagnosis analysis. Our method is to extract the tongue region for using improved snake algorithm, and calculates the geometry information by using convex hull and In-painting. In experiment, our method has stable performance as 7.2% by tooth plate and 8.5% by crack in region difference ratio.

Extraction of Tongue Region for Heart Disease Diagnosis Using (심장질환진단을 위한 혀 영역 추출)

  • Cho, Dong-Uk;Kim, Bong-Hyun;Lee, Se-Hwan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.11a
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    • pp.655-658
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    • 2005
  • 질병과 관련된 인간의 노력은 병의 치료보다는 몸의 이상 유무를 빠르게 진단하는 것과 이를 통한 예방에 초점을 맞춰져 있다. 이를 위해 혈액과 소변 검사등과 같은 검사부터 시작해서 초음파와 CT등 다양한 진단 기기가 발전되어 왔다. 그러나 인체는 스스로 자신의 질병 유무에 대한 인체의 생체 신호를 몸밖에 나타내게 되어 있다. 이를 해독하여 질병을 진단하는 것이 한방에서 주로 사용하는 방법이다. 따라서 본 논문에서는 한의학에 있어서 생체 신호를 해석하는 4대 질환 진단 방법 중 가장 중요한 망진(望診)에 대해 기술하고자 한다. 특히, 인체의 중심 기관인 심장에 대해 망진을 IT기술로 구현하고자 한다. 심장은 오관중 혀와 관계가 되어 있으며 따라서 심장에 대한 인간 생체 신호 해석시 혀는 중요한 분석 기관이 된다. 이를 위해 혀를 통해 인간의 생체 신호에 대한 결과를 반영하여 심장의 질환 여부에 대한 정보를 제공하여 주는 설진 시스템을 구축하고자 하며 우선적으로 본 논문은 얼굴 영상에서 혀 영역을 추출하는 방법에 대해 제안하고자 하며 실험에 의해 제안한 방법의 유용성을 입증하고자 한다.

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THE ESTHETIC RESTORATION BY OPEN-FACED STAINLESS STEEL CROWN IN PREMATURE LOSS OF MAXILLARY PRIMARY INCISORS (상악 유중절치 조기 상실시 개창 금속관을 이용한 심미적 수복)

  • Lee, Jung-Jin;Kim, Seong-Oh;Lee, Je-Ho;Choe, Hyeong-Jun;Son, Heung-Kyu;Choi, Byung-Jai
    • Journal of the korean academy of Pediatric Dentistry
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    • v.33 no.4
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    • pp.717-721
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    • 2006
  • Premature loss of maxillary primary incisors often results from early childhood caries (ECC), trauma. While space maintenance in the posterior region is an important consideration when there is early loss of primary molars, the anterior segment appears to be stable, even with the early loss of several incisors, once the primary canines erupt. However, collapse of anterior arch integrity is evident in cases where incisor teeth are in a crowded dentition prior to extraction or lost before the eruption of the primary canines. So, when early loss of maxillary primary incisors, the aim of restoration is esthetics, speech problem, oral habit such as tongue thrusting than space maintenance. This paper reports that the esthetic problem due to premature loss of maxillary incisors can be successfully resolved by soldered open-faced stainless steel crown.

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