제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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- Pages.568-571
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- 1997
Recognizing asymmetric moire patterns for human spinal deformity detection
- Kim, Hyoung-Seop (Kyushu Institute of Technology, Department of Mechanical and Control Engineering) ;
- Hiroshi UENO (Kyushu Institute of Technology, Department of Mechanical and Control Engineering) ;
- Seiji ISHIKAWA (Kyushu Institute of Technology, Department of Mechanical and Control Engineering) ;
- Yoshinori Otsuka (Department of Orthopedic Surgery National Sanatorium chiba Higashi Hospital Nitonacho)
- 발행 : 1997.10.01
초록
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.