• Title/Summary/Keyword: Nose Or Apex Nasi

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Face Feature Extraction for Child Ocular Inspection and Diagnosis of Colics by Crying Analysis (소아 망진을 위한 얼굴 특징 추출 및 영아 산통 진단을 위한 울음소리 분석)

  • Cho Dong-Uk;Kim Bong-Hyun
    • The KIPS Transactions:PartB
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    • v.13B no.2 s.105
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    • pp.97-104
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    • 2006
  • There is no method to control for the child efficiently when disease happens who cannot be able to express his symptoms. Therefore, doctor's diagnosis depends on inquiring from child's patients, that leads to wrong diagnosis result. For this, in this paper, we would like to develop child ocular inspection, auscultation diagnosis instruments, using Oriental medicine principle that living body signal of five organs and six hallow organs which reflects patients face and voice We would like to get more accurate diagnosis result for child's symptoms from doctor's intuition on the basis of diagnostic sight visualization, objectification, quantization itself. This paper develops color revision, YCbCr application, and face color selection and five sensory organs and nose or apex extraction method etc, in child ocular inspection by first work achievement sequence among the whole development systems. Also, in occasion of child auscultation, crying characteristics of colics through pitch, intensity and formant analysis is numerized and objectifies doctor's intuition through this. Finally, experiments are performed to verify the effectiveness of the proposed methods.

Main Region and Color Extraction of Face for Heart Disease Diagnosis (심장 질환 진단을 위한 얼굴 주요 영역 및 색상 추출)

  • Cho Dong-Uk
    • The KIPS Transactions:PartB
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    • v.13B no.3 s.106
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    • pp.215-222
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    • 2006
  • People health improvement is becoming new subject through the combining with the oriental medicine diagnosis theory and IT technology. To do this, firstly, it needs sicked data that supply the visualization, objectification and quantification method. Especially, if an ocular inspection can be more objective and visual expression in oriental medicine, it seems to offer the biggest opportunity in diagnosis field. In this study, I propose a diagnosis to check the symptoms of heart diagnosis. Our research aim is on the visualization of diagnosis using image processing system which it can be actual analysis about the symptom of heart. To catch up this study, through the color support assistance by face image processing, I devide the face area and analyze the face form and also extract face characteristic point in heart disease diagnosis using oriental medicine based on an ocular inspection method. I would like to prove the usefulness of the method that proposed by an experiment.