{'fraction_non_alphanumeric': 0.012917115177610334, 'fraction_numerical': 0.0, 'mean_word_length': 5.36986301369863, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Defect Detection of Sheet Metal Based on Heat Wave Method

Infrared thermal wave imaging is a new type of non-destructive testing technology. This article introduces the basic theoretical principles of non-destructive testing of infrared thermal wave imaging, and establishes an infrared thermal wave image acquisition system for metal plates. For the detection of internal defects in sheet metal, infrared heat wave technology is used. Aiming at the characteristic of serious background noise interference of infrared heat wave image, a method of homomorphic filtering enhancement processing for infrared heat wave image was studied. Finally, OTSU, KSW entropy and particle swarm algorithm are used to perform threshold segmentation on the enhanced image to effectively extract the internal defects of the target and lay a good foundation for the quantitative analysis of the defect area and diameter of subsequent target areas.