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http://dx.doi.org/10.6109/jkiice.2018.22.4.634

Algorithm for Extract Region of Interest Using Fast Binary Image Processing  

Cho, Young-bok (Department of Computer & Information Security, Daejeon University)
Woo, Sung-hee (Department of Medical IT&Engineering, Korea National University of Transportation)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.4, 2018 , pp. 634-640 More about this Journal
Abstract
In this paper, we propose an automatic extraction algorithm of region of interest(ROI) based on medical x-ray images. The proposed algorithm uses segmentation, feature extraction, and reference image matching to detect lesion sites in the input image. The extracted region is searched for matching lesion images in the reference DB, and the matched results are automatically extracted using the Kalman filter based fitness feedback. The proposed algorithm is extracts the contour of the left hand image for extract growth plate based on the left x-ray input image. It creates a candidate region using multi scale Hessian-matrix based sessionization. As a result, the proposed algorithm was able to split rapidly in 0.02 seconds during the ROI segmentation phase, also when extracting ROI based on segmented image 0.53, the reinforcement phase was able to perform very accurate image segmentation in 0.49 seconds.
Keywords
Medical Image Processing; Big Data; Fast Binary Image Processing; Reign of Interest; TW3 bone age;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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