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A computer vision system for diagnosing scoliosis

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2 Author(s)
M. Batouche ; Dept. d''Inf., Univ. of Constantine, Algeria ; R. Benlamri

Presents a computer vision system for diagnosing spinal deformations using moire images of the human back. The system consists of two major stages. A segmentation in which fringe contours are extracted using the infinite size symmetric exponential filter (ISEF) which is implemented in a parallel fashion. In the second stage, image interpretation is performed using some relevant features and the three dimensional surfaces that are reconstructed from the contour fringes by applying a parallel relaxation operator (Mota and Velasco operator for discrete relaxation). In order to have a real-time vision system, most of the system's components are implemented in a parallel fashion. The segmentation stage uses both spatial and temporal parallelism for speeding up the fringe extraction. The proposed system has been tested on a set of noisy moire images, and the experimental results have shown its robustness and reliability for the recognition of most scoliosis deformities

Published in:

Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on  (Volume:3 )

Date of Conference:

2-5 Oct 1994