科研之友
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摘要
An efficient approach based on particle swarm clustering is proposed for fish bone detection. With respect to the gray value distribution of the radiographic image, Gaussian distribution properties are used combined with morphological methods for image preprocessing, by which one region of interest (ROI) is obtained. Then, particle swarm clustering is used to segment the ROI into different clusters. Finally, experiments are done and comparisons with traditional image segmentation techniques show that our approach is effective.
