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http://dx.doi.org/10.6109/jkiice.2015.19.12.2785

Needle Detection by using Morphological Operation and Line Segment Approximation  

Jang, Kyung-shik (Department of multimedia Engineering, Dongeui University)
Han, Soowhan (Department of multimedia Engineering, Dongeui University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.12, 2015 , pp. 2785-2791 More about this Journal
Abstract
In this paper, neddle detection algorithm for the removal of needle stuck into skin in oriental clinic is presented. First, in the proposed method, potential candidate areas of each needle are selected by using the morphological open operation in a gray image, and the false candidates are removed by considering their area size. Next, edge points are extracted using canny edge detector in selected candidate areas, line segments are approximated using the edge points. Based on the direction of line segment and the distance between two line segments, two main line segments of the needle are extracted. The final verification of needle is accomplished by using the morphological analysis of these two line segments. In the experiments, the detection rate of proposed method reaches to 97.5% for the 16 images containing 119 needles.
Keywords
needle detection; morphological operation; line segment approximation; canny edge detector;
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Times Cited By KSCI : 1  (Citation Analysis)
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