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All Journal International Journal of Electrical and Computer Engineering
Sang-Seok Yun
Silla University
Computer Science & IT Electrical & Electronics Engineering

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Automatic segmentation of wrist bone fracture area by K-means pixel clustering from X-ray image Kwang Baek Kim; Doo Heon Song; Sang-Seok Yun
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 6: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.027 KB) | DOI: 10.11591/ijece.v9i6.pp5205-5210

Abstract

Early detection of subtle fracture is important particularly for the senior citizens’ quality of life. Naked eye examination from X-ray image may cause false negatives due to operator subjectivity thus computer vision based automatic detection software is much needed in practice.  In this paper, we propose an automatic extraction method for suspisious wrist fracture regions. We apply K-means in pixel clustering to form the candidate part of possible fracture from wrist X-ray image automatically. This method can recover previously detected patterned false cases with edge detection method after fuzzy stretching. The proposed method is successful in 16 out of 20 tested cases in experiment.
Co-Authors Doo Heon Song Kwang Baek Kim