Showing papers by "Yoichi Miyake published in 2011"

Regional image analysis of the tongue color spectrum.

Abstract: Kampo medicine (Japanese traditional herbal medicine) can identify “Mibyou” (disease-oriented state) based on visual tongue inspection by a trained physician. Surface colors of uncoated tongue provide essential features. A hyperspectral imaging system which performs regional image analysis of the tongue color spectrum was developed to automatically inspect the uncoated tongue. Hyperspectral tongue surface images were acquired by a camera equipped with an integrating sphere. The color spectrum from 4 tongue areas—uncoated tongue, coated tongue, lip, and perioral areas—were quantified. The average spectrum of each area was determined and 4 images calculated by focusing on the differences between respective spectra; highlight, shadow, tongue coat, and lip-weighted images were calculated. The uncoated tongue area was extracted by subtraction. Reproducibility was evaluated by applying the camera and extraction algorithm to 44 images from human subjects. Eighty-two percentage were judged as acceptable by a Kampo medicine physician expert. Using a hyperspectral camera and extraction algorithm, the tongue color of the uncoated part was automatically extracted. This technique is suitable for tongue color analysis and may help non-trained users to identify “Mibyou”.

Principal component vector rotation of the tongue color spectrum to predict "Mibyou" (disease-oriented state).

Abstract: Kampo medicine (Japanese traditional herbal medicine) contains concepts useful for preventive medicine. For example, “Mibyou” (disease-oriented state) aims to prevent illness by early recognition. Kampo diagnosis is based on subjective examinations, such as tongue inspection, by trained specialist physicians. An objective metric of the tongue color spectrum was developed as a surrogate for subjective visual inspection. Tongue images were acquired with a hyperspectral imaging system, and the uncoated tongue region was segmented automatically. The spectral information of the uncoated tongue area was analyzed by principal component analysis (PCA). The component vector most representative of each clinical symptom was found by rotating the vector on a plane spanned by two arbitrary principal component vectors. The system was tested in human volunteers. Forty-four hyperspectral images were acquired from 30 healthy male subjects for initial testing. The Oketsu (blood stagnation) score was determined by an experienced clinician in Kampo medicine from 27 of 30 subjects. The correlation between respective principal components and Oketsu score was 0.67 at maximum, and increased to 0.73 by linear combination, while it was −0.75 by vector rotation. Significant correlations for many disorders were demonstrated, and vector rotation showed better correlation than linear combination. A PCA-based algorithm was developed to objectively evaluate patients using color images of the tongue surface. Testing showed that this method was a feasible surrogate for expert visual tongue analysis. This tool should help non-trained people identify “Mibyou” health status for individuals. The algorithm is free of empirical criteria, and it may be it applicable to many hyperspectral image types.

Detecting hyper-/hypothyroidism from tongue color spectrum

Abstract: In this article, we present hyperspectral analysis of the tongue and correlation between its color and values of thyroid hormones. In Kampo medicine (Japanese traditional herbal medicine), the tongue acts as a mirror reflecting the internal state of the body. By assessing the patient's complexion of the tongue, we are able to assess the changes including initial change of typical hyper-/hypothyroidism. However, examination methods in Kampo is empirical and require much experience. Therefore, we performed hyperspectral tongue analysis to turn the empirical observation into the change in substantial factor. One hundred hyperspectral tongue images and blood samples were acquired from 50 outpatients. The principal component analysis was performed for tongue color spectra, and correlation to thyroid hormones was calculated with the vector rotation method. As the result, TH4 showed large correlation with the tongue color spectra. Our method would help non-invasive screening in low cost. The tongue examination seems to be reliable for acquiring the state of the body.

Psychological Effects of Ambient Illumination Control and Illumination Layout While Viewing Various Video Images

Abstract: Recently enhancing the visual experience of the user has been a new trend for TV displays. This trend comes from the fact that changes of ambient illuminations while viewing a Liquid Crystal Display (LCD) significantly affect human impressions. However, psychological effects caused by the combination of displayed video image and ambient illuminations have not been investigated. In the present research, we clarify the relationship between ambient illuminations and psychological effects while viewing video image displayed on the LCD by using a questionnaire based semantic differential (SD) method and a factor analysis method. Six kinds of video images were displayed under different colors and layouts of illumination conditions and rated by 15 observers. According to the analysis, it became clear that the illumination control around the LCD with displayed video image, the feeling of ‘activity’ and ‘evaluating’ were rated higher than the feeling of fluorescent ceiling condition. In particular, simultaneous illumination control around the display and the ceiling enhanced the feeling of ‘activity,’ and ‘evaluating’ with keeping ‘comfort.’ Moreover, the feeling of ‘activity’ under the illumination control around the LCD and the ceiling condition while viewing music video image was rated clearly higher than that with natural scene video image.

Feature-based automatic color calibration for networked camera system

Abstract: In this paper, we have developed a feature-based automatic color calibration by using an area-based detection and adaptive nonlinear regression method. Simple color matching of chartless is achieved by using the characteristic of overlapping image area with each camera. Accurate detection of common object is achieved by the area-based detection that combines MSER with SIFT. Adaptive color calibration by using the color of detected object is calculated by nonlinear regression method. This method can indicate the contribution of object's color for color calibration, and automatic selection notification for user is performed by this function. Experimental result show that the accuracy of the calibration improves gradually. It is clear that this method can endure practical use of multi-camera color calibration if an enough sample is obtained.