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http://dx.doi.org/10.6109/jkiice.2020.24.12.1618

Extraction of Intestinal Obstruction in X-Ray Images Using PCM  

Kim, Kwang Baek (Division of Computer Software Engineering, Silla University)
Woo, Young Woon (Division of Creative Software Engineering, Dong-eui University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.12, 2020 , pp. 1618-1624 More about this Journal
Abstract
Intestinal obstruction diagnosis method based on X-ray can affect objective diagnosis because it includes subjective factors of the examiner. Therefore, in this paper, a detection method of Intestinal Obstruction from X-Ray image using Hough transform and PCM is proposed. The proposed method uses Hough transform to detect straight lines from the extracted ROI of the intestinal obstruction X-Ray image and bowel obstruction is extracted by using air fluid level's morphological characteristic detected by the straight lines. Then, ROI is quantized by applying PCM clustering algorithm to the extracted ROI. From the quantized ROI, cluster group that includes bowel obstruction's characteristic is selected and small bowel regions are extracted by using object search from the selected cluster group. The proposed method of using PCM is applied to 30 X-Ray images of intestinal obstruction patients and setting the initial cluster number of PCM to 4 showed excellent performance in detection and the TPR was 81.47%.
Keywords
Intestinal obstruction; Small intestine; Large intestine; Hough transform; PCM clustering;
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Times Cited By KSCI : 2  (Citation Analysis)
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