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STUDY AND REALIZATION OF IMAGE SEGMENTATION ON THE COTTON FOREIGN FIBERS

机译:棉外纤维上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:提出了一种基于平均偏移,扩张和滤波算法的外纤维图像分割方法。对于发鸡羽毛和混合外纤维的代表性灰色图像,使用平均移位算法进行图像分割;然后将扩张和滤波过程进行到分开的图像元件上。以这种方式实现了外纤维的精确图像分割。通过实验证明,本文提出的图像分割方法可以抑制噪声良好,并且对各种外纤维图像满足分段结果。

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