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- W2097508958 abstract "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. >" @default.
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- W2097508958 date "2002-12-17" @default.
- W2097508958 modified "2023-09-25" @default.
- W2097508958 title "A computer vision system for diagnosing scoliosis" @default.
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- W2097508958 doi "https://doi.org/10.1109/icsmc.1994.400267" @default.
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