This started on the urine sediment image recognition algorithm. Author engaged in " Urine image automatic recognition algorithm of the project on" study, draw extensively on the achievements of the existing home and abroad, according to the image characteristics of urinary sediment from the image enhancement, image segmentation, feature extraction and feature selection, image recognition each link to find the best possible ways to improve the recognition performance of this composite image segmentation algorithm based on improved feature extraction and feature selection algorithm and BP neural network classification of devices in the urinary sediment Tuxiangzidong recognition algorithm.

尿沉渣图像自动识别算法的研究.kdh

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