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A computer vision and defect detection technology, applied in the field of image processing, can solve problems such as weak anti-noise ability, difficult to popularize and apply, and insufficient stability, and achieve the effect of strong anti-noise, simple and practical algorithm, and easy program implementation
Active Publication Date: 2015-12-16
GUANGXI NORMAL UNIV
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In industrial production, a large number of bamboo strips need to be detected. This method is difficult to implement and has low efficiency.
In addition, the stability of this method is not enough, and the anti-noise ability is wea
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Embodiment 1
[0056] The main steps are as follows:
[0057] Ⅰ. Capture the image of the bamboo strips
[0058] Take the grayscale image f of the bamboo strip surface with black flannelette as the background, such as figure 2 As shown, there is a dark dot in the middle of the bamboo image;
[0059] Ⅱ. Normalization
[0060] The image f is normalized by the gamma correction method to obtain the image fg;
[0061] Ⅲ. Filtering
[0062] Perform median filtering and Gaussian filtering on image fg to obtain image f 1 ;
[0063] Ⅳ. Wavelet transform processing
[0064] Using sym4 wavelet to image f 1 Perform four-level wavelet transform to obtain image f 2 ,Such as image 3 As shown, the dark dots in the middle of the bamboo image are clearer;
[0065] Ⅴ. Threshold segmentation of the maximum between-class variance method
[0066] Using the maximum between-class variance method (OTSU) to image f 2 The foreground and background are thresholded, the segmentation threshold is t, and the...
Embodiment 2
[0076] The main steps are as follows:
[0077] Ⅰ. Capture the image of the bamboo strips
[0078] Identical with embodiment 1 step Ⅰ, the grayscale image f of the surface of the bamboo strips obtained is as follows Figure 7 As shown in , there is a light line on the edge of the bamboo strip image;
[0079] Steps II-IV are the same as in Example 1, and the image f is obtained 2 ,Such as Figure 8 As shown in , there is a light line on the edge of the bamboo strip image;
[0080] Step Ⅴ~same as embodiment 1, obtain image f 5 , this example image f 5 The area of the defect connected domain displayed in is smaller than the defect domain area threshold A; it is judged that the bamboo strip has no mold spots or wormhole defects; enter step Ⅷ;
[0081] Ⅷ. Edge and crack detection
[0082] Use the canny operator to traverse the image f 2 , get the image f 6 ,Such as Figure 9 As shown, this image f 2 In addition to the crack defect, there is also the edge of the bamboo s...
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Abstract
The invention relates to a computer vision-based bamboo strip surface defect detection method. The method comprises the following steps: shooting the image of a bamboo strip, normalizing, filtering, and carrying out wavelet transformation treatment; segmenting the threshold of the image by using an OTSU technology, carrying out closed operation to fill holes of the bamboo strip image, carrying out corrosion operation to remove negative influences of the closed operation, segmenting the wormhole and/or mildew spot defect in the bamboo strip image through a difference image technology, and considering no mildew spot or wormhole defect exists and entering crack detection if the connected domain area of the defect is smaller than the defect domain area threshold A; calculating the defect connected domain image gray average Gm if the connected domain area of the defect is not smaller than the defect domain area threshold A, and considering mildew spot or wormhole exists and judging the bamboo strip as a defected bamboo strip if a difference between the Gm and a bamboo strip image scale average G0 is greater than a threshold G; and detecting edges and cracks if the difference is not greater than the threshold G, removing the bamboo strip edges of the image, determining crack defects exist if the total number of nonzero pixel points or a maximum connected domain length is greater than a corresponding threshold and the crack scale average is greater than G0, and determining the bamboo strip is qualified if not. The method has the advantages of high detection efficiency, strong noise resistance and high stability, and allows the correct recognition rate to reach 95% or above.
Description
technical field [0001] The invention relates to the technical field of image processing, in particular to a method for detecting surface defects of bamboo strips based on computer vision. Background technique [0002] my country is rich in bamboo resources and bamboo has a strong regeneration capacity. Bamboo has a smooth texture and clear texture, and is widely used in the manufacture of bamboo tapestries, bamboo carpets, bamboo floors and other architectural and decorative products. However, during the growth of bamboo, some insects, diseases or decay are unavoidable. The intermediate product bamboo strips made, due to reasons such as various environmental climates and humidity, some bamboo strips will crack during processing and storage, and some bamboo strips will become moldy. Therefore, defects such as insect-eaten holes, cracks, and mildew spots often appear on the surface of bamboo strips. Before the next step of bamboo product processing, the surface defects of b...
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