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Classical edge detection algorithm cannot completely remove blur edge and lost sharp edge when it is used to process the defects of the timber. In order to resolve this problem, we propose a defect detection algorithm based on multi-threshold and gradient optimization. Firstly, through k-means algorithm (k=4), the mean threshold of module is required. Secondly, the image is segmented by 4×4 module,...
The identification of Chinese herbal powders is usually based on physical or chemical detection, but that is far from enough to identity dozens of herbal species. Microscopic images of these powders contain variety of information, and important evidence for identification. These images usually contain variety of substance, and most of them are noises, which makes the target segmentation become a difficult...
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