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http://dx.doi.org/10.9717/kmms.2015.18.10.1216

A Study on Needle Detection by using RGB Color Information  

Han, Soowhan (Dept. of Multimedia Eng., Dongeui University)
Jang, Kyung-Shik (Dept. of Multimedia Eng., Dongeui University)
Publication Information
Journal of Korea Multimedia Society / v.18, no.10, 2015 , pp. 1216-1224 More about this Journal
Abstract
In this paper, a detection algorithm for the removal of needle in oriental clinic is presented. First, in the proposed method, the candidate areas of each needle penetrated are selected by using the RGB color information of needle head, and the false candidates are removed by considering their area size. Next, two main edges of the needle are extracted through using the edges of selected candidate areas and their radon transformation. The final verification of penetrated needle is accomplished by using the morphological analysis of these two edge lines. In the experiments, the detection rate of proposed method reaches to 99% for the 36 images containing 294 needles.
Keywords
Removal of Needle; Needle Detection; Needle Recognition; Color Information;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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