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去除阴影后利用霍夫直线变换检测茶叶中的杂质 被引量:4

Detect Impurities in Tea-leaves by Hough Line Transform after Removing Image Shadow
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摘要 在实际的图像中常常会伴随着阴影的存在,这些阴影的存在极可能会影响图像处理结果。因此,在实际图像处理中先对图像进行去阴影处理显得十分必要。利用多梯度分析和二值化去除阴影,然后再对处理后的图像采用霍夫直线变换检测出有直线特征的杂质,这样能够较好地避免阴影对直线检测的影响,同时优化霍夫变换,减少运行时间。 Shadow always exists in the actual image ,and it will probably produce an effect on the image processing result ,so it is completely necessary to remove the shadow before image processing .In this paper ,the gradient analysis and image binaryzation is applied to removing shadow ,and Hough transform is taken to detect the impurities with linear features in the treated image .By doing this ,it will avoid the influence of the shadow on the detection result in a big degree .At the same time the Hough transform will be optimized to reduce the running time .
出处 《机械工程与自动化》 2014年第5期63-65,共3页 Mechanical Engineering & Automation
关键词 阴影 多梯度分析 霍夫变换 直线检测 杂质 shadow gradient analysis Hough transform line detection impurity
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