In view of the cracks, holes and other defects on the surface of prefabricated concrete components in prefabricated building, an Image recognition method of surface defects of prefabricated concrete members in prefabricated building is proposed. This method first performs denoising and enhancement processing on the obtained component defect images to improve the clarity of the images. Based on this, the image is segmented, and the defect features of the component surface defect image are extracted based on the segmentation results. Finally, support vector machines are used to classify the extracted features, achieving accurate recognition of surface defects in prefabricated concrete components. The experimental results show that the recognition effect and accuracy of using this method for component defect image recognition are good.
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Zhiyuan Li (2024) studied this question.
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