• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.568-571
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• 1997

Recently, the number of techniques for analyzing medical images has been increasing in computer vision, employing X-ray CT images, ultrasound images, MR images, moire topographic images, etc. Spinal deformity is a serious problem especially for teenagers and medical doctors inspect moire topographic images of their backs visually for the primary screening. If a subject is normal, the moire image is almost symmetric with respect to the middle line of the subject's back, otherwise it shows asymmetric shape. In this paper, an image analysis technique is described for discriminating suspicious cases from normal in human spinal deformity by recognizing asymmetric moire images of human backs. The principal axes which are sensitive to asymmetry of the moire image are extracted at two parts on a subject's back and their angles are evaluated with respect to the detected middle line of the back. The two angles compose a 2-D feature space and inspected cases are divided into two clusters in the space by a linear discriminant function based on the Mahalanobis distance. Given 120 cases, 60 normal and 60 abnormal, the leave-out method was applied for the recognition and 75% recognition rate was achieved.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.244-247
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• 1995

A technique is presented for evaluating spinal deformity of a human back by extracting a spinal line based on 3-D topograpic reconstruction of the back from its moire image. A given moire image is differentiatedby DOG filter to extract moire stripes. The stripes are then assigned labels and the labels are interpolated by the Lagrange polynomial to yield the undulation of the back which gives a relative 3-D shape of the back. A valley is searched on the undulation near the middle part of the back and the valley line is finally extracted as an approximated spinal line. The mean differenceand the variance between the spinal line and the middle line are calculated and reported. Experiment is performed employing real moire images ofjunior-high school students' backs and some of the results are shown with discussion.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.105.1-105
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• 2001

In this paper, a technique is described for classifying normal cases and abnormal cases in automatic spinal deformity detection by computer based on moire topographic images of human backs. Displacement is evaluated statistically between the middle line extracted from the entire moire image and the middle line obtained from a small rectangle area defined on the moire image. The middle line is calculated employing a developed potential symmetry analysis technique. The displacement is calculated in several regions and the mean and the standard deviation of the displacement values are chosen as two features. A linear discriminant function (LDF) is defined on the 2-D feature space based on the Mahalanobis distance and the features are classified into two categories, i.e., normal and ...

• Journal of the Society of Cosmetic Scientists of Korea
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• v.38 no.4
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• pp.289-296
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• 2012

Cosmetic products which might augment the breast have attracted an attention and objective methods for the evaluation of such products are in high demand. This study was conducted to establish a method for assessing the breast-firmming effects of cosmetics. This study included a total of 30 healthy Korean females aged 20-50 years. A cosmetic product was applied by massaging it onto the breast twice a day for 8 weeks. Measurement of breast girth with a tape ruler, 2D and 3D digital image analyses, and Moir$\acute{e}$ topographic analysis were performed before and following the treatment. The application of a cosmetic onto the breast significantly increased breast girth at 2, 4 and 8 weeks without a significant change in underbreast girth, implicating the breast might be augmented. The 2D image analysis indicated that the arc length of the breast which represents the surface distance from the nipple to the periphery of the under-breast was significantly increased at 2, 4 and 8 weeks. The height of the breast which represents the perpendicular distance from the nipple to the periphery of the under-breast was also increased significantly at 4 and 8 weeks. The 3D image analysis of body surface also demonstrated a significant increase of breast volume at 2, 4 and 8 weeks. Moir$\acute{e}$ topographic analysis indicated that breast sagging was significantly reduced at 2, 4 and 8 weeks. The results of this study suggest that Moir$\acute{e}$ topography in combination with 2D and 3D digital image analyses may be useful for evaluating the breast-augmenting effects of cosmetics.