The car surface scratch detection adopts the traditional manual detection with poor efficiency and high missing rate.Because of the gray mark and the background of car surface scratches,the traditional edge detection ...The car surface scratch detection adopts the traditional manual detection with poor efficiency and high missing rate.Because of the gray mark and the background of car surface scratches,the traditional edge detection algorithm cannot meet the needs of car surface scratch detection.Therefore,the directional SUSAN algorithm based on CIELab color space is adopted in this paper.The direction template and the circle template to calculate the color difference of the color image are used in the algorithm which has been converted to the CIELab space.The edges and scratches are eliminated by matching and contrasting the detected image with the edge template.Experimental results show that the algorithm can effectively detect scratches on the surface of cars,improve the detection speed and reduce the undetected rate.展开更多
提出了一种新的静脉图像分割方法,该方法以方向场分布率(Distribution ratio of directional fields,DRDF)作为区分静脉纹路和背景的分割准则.首先利用邻域信息和邻域分块模板计算图像中每个像素点的方向场以生成方向场图像,然后根据方...提出了一种新的静脉图像分割方法,该方法以方向场分布率(Distribution ratio of directional fields,DRDF)作为区分静脉纹路和背景的分割准则.首先利用邻域信息和邻域分块模板计算图像中每个像素点的方向场以生成方向场图像,然后根据方向场图像中像素点互补半圆区域内的方向场分布率和分布判定函数计算出8灰度级图像,最后确定二值化参数将8灰度级图像二值化得到最终图像分割结果.该方法结合静脉图像特征,充分利用方向场图像的空间属性,克服了照度不均、粗细不均以及边界模糊等因素对分割造成的影响.实验结果表明该方法对于静脉图像具有很好的分割效果.展开更多
基金supported in part by the Research Institute Joint Innovation Fund(No.BY2013003-06)
文摘The car surface scratch detection adopts the traditional manual detection with poor efficiency and high missing rate.Because of the gray mark and the background of car surface scratches,the traditional edge detection algorithm cannot meet the needs of car surface scratch detection.Therefore,the directional SUSAN algorithm based on CIELab color space is adopted in this paper.The direction template and the circle template to calculate the color difference of the color image are used in the algorithm which has been converted to the CIELab space.The edges and scratches are eliminated by matching and contrasting the detected image with the edge template.Experimental results show that the algorithm can effectively detect scratches on the surface of cars,improve the detection speed and reduce the undetected rate.
文摘提出了一种新的静脉图像分割方法,该方法以方向场分布率(Distribution ratio of directional fields,DRDF)作为区分静脉纹路和背景的分割准则.首先利用邻域信息和邻域分块模板计算图像中每个像素点的方向场以生成方向场图像,然后根据方向场图像中像素点互补半圆区域内的方向场分布率和分布判定函数计算出8灰度级图像,最后确定二值化参数将8灰度级图像二值化得到最终图像分割结果.该方法结合静脉图像特征,充分利用方向场图像的空间属性,克服了照度不均、粗细不均以及边界模糊等因素对分割造成的影响.实验结果表明该方法对于静脉图像具有很好的分割效果.
