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Fundus lesion identification based on the improved FCM and mathematical morphology

机译:基于改进的FCM和数学形态学的眼底病变识别

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摘要

Fundus lesion identification is a worldwide problem. The traditional method has greater impact on human factors, subjective and cumbersome makes Fundus lesion identification Accuracy, objectivity and practicality not be guaranteed. To solve the above problem, an improved FCM algorithm for segmentation of Fundus lesion, the improved FCM algorithm clustering image segmentation Fundus lesion, and then remove the noise by mathematical morphology operations. Experimental results show that the algorithm can effectively identify the lesion in the Fundus image.
机译:眼底病变的识别是一个世界性的问题。传统方法对人为因素影响较大,主观和繁琐使得眼底病变的识别准确性,客观性和实用性得不到保证。为了解决上述问题,提出了一种改进的FCM算法进行眼底病变分割,该改进的FCM算法聚类图像分割眼底病变,然后通过数学形态学运算去除噪声。实验结果表明,该算法可以有效地识别眼底图像中的病变。

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