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STUDY AND REALIZATION OF IMAGE SEGMENTATION ON THE COTTON FOREIGN FIBERS

机译:棉花异纤图像分割的研究与实现

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A method of foreign fibers image segmentation based on Mean shift, dilation and filtering algorithm is presented. For the representative gray images of hair chicken feather and mixed foreign fibers, the Mean shift algorithm is used to carry on image segmentation; then dilation and filtering process is carried on to the divided image element. In this way the precise image segmentation of foreign fibers is realized. It's proved by experiments that the image segmentation method proposed by this article can suppress the noise well, and the segmentation results are satisfied for all kinds of foreign fibers image.
机译:提出了一种基于均值漂移,膨胀滤波算法的异物图像分割方法。对于毛羽鸡毛和异物混合的代表性灰度图像,采用均值平移算法进行图像分割。然后对分割后的图像元素进行膨胀和滤波处理。通过这种方式,可以实现异物纤维的精确图像分割。实验证明,本文提出的图像分割方法可以很好地抑制噪声,并且对各种异物图像均达到满意的分割效果。

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