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The mathematical morphology of paper's defect detection method based on multi-scale and multi-structure elements morphology

机译:基于多尺度和多结构元素形态学的纸张缺陷检测方法的数学形态学

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Since mathematic morphology of paper's defect detection method based on single-structure element has the shortcoming of obtaining incomplete and discontinued defect information, a new method of mathematical morphology defect detection on paper image using multi-scale and multi-structure elements morphology was proposed. Firstly, on the same scale, the multi-structure elements were adopted in edge detection on paper image, and then the edge image on one scale was gained through synthesizing. Secondly, the edge images on the different scales were weighted summed, binarized and suppressed the noise, and at last, the edge image of paper's defect detection was obtained using multi-scale and multi-structure elements morphology. The results of simulation show that the algorithm in this paper has better anti-interference and positioning accuracy, and the obtained edge is more complete.
机译:鉴于基于单结构元素的纸张缺陷检测方法的数学形态学存在获取不完整和不连续缺陷信息的缺点,提出了一种基于多尺度多结构元素形态学的纸张图像数学形态学缺陷检测新方法。首先,在相同比例尺下,将多结构元素用于纸张图像的边缘检测,然后通过合成获得一个比例尺的边缘图像。其次,对不同尺度下的边缘图像进行加权求和,二值化并抑制噪声,最后,利用多尺度,多结构元素形态学方法获得纸张缺陷检测的边缘图像。仿真结果表明,该算法具有较好的抗干扰能力和定位精度,所获得的边缘更加完整。

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