标题：Performance evaluation of simple linear iterative clustering algorithm on medical image processing
作者机构：[Cong, J] College of Science and Technology, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China;[ Wei, B] College of Science an 更多
来源：Bio-medical materials and engineering
关键词：Image segmentation;Medical image;Performance evaluation;SLIC;Superpixels
摘要：Simple Linear Iterative Clustering (SLIC) algorithm is increasingly applied to different kinds of image processing because of its excellent perceptually meaningful characteristics. In order to better meet the needs of medical image processing and provide technical reference for SLIC on the application of medical image segmentation, two indicators of boundary accuracy and superpixel uniformity are introduced with other indicators to systematically analyze the performance of SLIC algorithm, compared with Normalized cuts and Turbopixels algorithm. The extensive experimental results show that SLIC is faster and less sensitive to the image type and the setting superpixel number than other similar algorithms such as Turbopixels and Normalized cuts algorithms. And it also has a great benefit to the boundary recall, the robustness of fuzzy boundary, the setting superpixel size and the segmentation performance on medical image segmentation.