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作 者:LI Zhi-fang QlU Shao-ping WU Shu-lian LI Hui 李志芳;邱少平;吴淑莲;李晖(Key Laboratory of Optoelectronic Science and Technology for Medicine, Ministry of Education, Fujian Provincial Key Laboratory of Photonic Technology, Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application, College of Photonic and Electronic Engineering, Fujian Normal University)
出 处:《Optoelectronics Letters》2018年第4期306-310,共5页光电子快报(英文版)
基 金:supported by the National Natural Science Foundation of China(Nos.81571726 and 61675043)
摘 要:Quantification of fiber orientation is the key to characterizing the tissue mechanical properties and diagnosing diseases. A center line-based algorithm is presented for estimating the orientation distribution that first skeletonizes a binary image of fibers, followed by orientation estimation using a weight vector summation algorithm along the center line of image. Then we use the orientation at the skeleton to approximate the orientation of each pixel between the boundary and skeleton. The algorithm is applied for characterizing collagen fibers of mouse skins in second harmonic generation(SHG) image, and the circle standard deviation of orientation could be a biomarker to differentiate the naturally aging skins.
关 键 词:纤维取向 骨胶原纤维 中心线 图象 皮肤 泛音 自然 求和算法
分 类 号:R318[医药卫生—生物医学工程] TP391.41[医药卫生—基础医学]
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