Description: 基于小波变换的分开—合并图像分割matlab
.采用多尺度小波变换系数作为四分树结构的分开一合并法图像分割的一致性度量 从而在大的图像块中。去除噪声的影响,在小的图像块中,以小波变换的局部极大值精确定位边缘,根据边缘信息进行分开一合并法图像分割 .实验表明.算法得到满意的结果 .
-Separately based on wavelet transform- the combined image segmentation matlab. The use of multi-scale wavelet coefficients as a separate quarter of the tree structure of one combined method of image segmentation in order to measure the consistency of a large block of images. The impact of noise, in a small block of the image, the wavelet transform to local maxima of the edge of precise positioning, according to the brink of a merger of separate information for image segmentation method. Experiments show that. Algorithm is satisfied with the results. Platform: |
Size: 125952 |
Author:陳子力 |
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Description: 针对现有的PCB(Printed Circuit Board)缺陷视觉检测系统实时性较差,难以检测线宽过窄等问题,首先对 PCB 缺陷图像进行小波变换压缩,提高了系统实时性;然后应用小波边缘检测算法对缺陷图像边缘精确定位,在图像小波变换局部模极大值对应的梯度方向上计算边缘点距离,根据特定规则提取、识别并定位特定缺陷,实验结果表明上述方法简单有效。-For the existing PCB (Printed Circuit Board) real-time visual inspection system for defects is poor, difficult to detect a narrow line width and other issues, first of all defects on the PCB image compression using wavelet transform and improve the system real time and then apply the wavelet edge detection algorithm precise location of the defect edge in the wavelet transform and local maxima correspond to the gradient direction of edge points to calculate the distance, according to a specific rule extraction, to identify and target specific defects, experimental results show that the method is simple and effective. Platform: |
Size: 134144 |
Author:李瑶 |
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Description: 基于小波变换的分开—合并图像分割matlab.采用多尺度小波变换系数作为四分树结构的分开一合并法图像分割的一致性度量 从而在大的图像块中。。去除噪声的影响,在小的图像块中,以小波变换的局部极大值精确定位边缘,根据边缘信息进行分开一合并法图像分割 .实验表明.算法得到满意的结果 .
-Separately based on wavelet transform- merge image segmentation Matlab. Multi-scale wavelet transform coefficients as the quadtree structure separate consolidation method of image segmentation consistency measure large image block. . To remove the effects of noise, in small image blocks, the local maxima of the wavelet transform precise positioning edge, to separate a combined method for image segmentation according to the edge information. Experiments show. Algorithm to obtain satisfactory results. Platform: |
Size: 125952 |
Author:lxiao |
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