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The Study of Pre-processing Algorithm for Improving Efficiency of Optical Flow Method on Ultrasound Image  

Kim, Sung-Min (Dept. of Medical Bio Engineering, Dongguk University)
Lee, Ju-Hwan (Dept. of Medical Bio Engineering, Dongguk University)
Roh, Seung-Gyu (Research Institute of Biotechnology, Dongguk University)
Park, Sung-Yun (Dept. of Medical Bio Engineering, Dongguk University)
Publication Information
Abstract
In this study, we have proposed a pre-processing algorithm newly developed for improving the tracking efficiency of the optical flow method. The developed pre-processing algorithm consists of a median filter, binarization, morphology, canny edge, contour detecting and an approximation method. In order to evaluate whether the optical flow tracking capacity increases, this study applied the pre-processing algorithm to the Lucas-Kanade(LK) optical flow algorithm, and comparatively analyzed its images and tracking results with those of optical flow without the pre-processing algorithm and with the existing pre-processing algorithm(composed of median filter and histogram equalization). As a result, it was observed that the tracking performance derived from the LK optical flow algorithm with the pre-processing algorithm, shows better tracking accuracy, compared to the one without the pre-processing algorithm and the one with the existing pre-processing algorithm. It seems to have resulted by successful segmentation for characteristic areas and subdivision into inner and outer contour lines.
Keywords
Optical Flow; Ultrasound Image; Pre-processing; Lucas-Kanade;
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Times Cited By KSCI : 4  (Citation Analysis)
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