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1.First the defect images are taken with SONY digital camerawith a black background. Then by series of methods for image pretreatment such as with histogram transform the image contrastbeing increased, with the threshold obtained through calculation the fabrics treated by two-value method and by wave filteringmethod the image noises eliminated, the defect parts are separated from fabric texture and the defect images for analysis areobtained.
先用SONY数码相机在黑色的背景下对疵点进行了拍照得到了图像数据,然后用一系列图像预处理法,如直方图处理变换增加了织物图像的对比度、用计算得到的阈值对织物进行了二值化处理、滤波方法消除二值化处理后图像噪声等,从织物纹理分离出疵点部分,得到了可以分析的织物疵点图像。收藏指正
2.According to the orthogonal wavelet conditions, a two-dimensional adaptive stationary wavelet which matches the fabric texture is constructed by using the average energy ratio between the defect area and defect-free area as optimal objective function.
摘要根据小波正交条件,通过使用疵点图像的疵点区与无疵点区能量均值比为优化目标函数,构造与织物纹理模式相匹配的二维自适应平稳小波。收藏指正
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