Intelligent online detection and automatic grading method and system for pottery tiles

Abstract

The invention discloses an intelligent online detection and automatic grading method and system for pottery tiles. The method comprises the steps of acquiring image data of a to-be-detected pottery tile, respectively carrying out crack defect detection, unfilled corner defect detection, chromatic aberration defect detection, glaze lack defect detection and bulge defect detection on the image data,obtaining the grade of the to-be-detected pottery tile according to the defect detection results, respectively carrying out first pretreatment or second pretreatment on the acquired image according to the detection requirements, adopting different filtering and defect extraction modes at the same time, carrying out color discrimination during glaze lack detection in particular, and carrying out image pretreatment, image segmentation, feature extraction and corresponding defect grades on to-be-detected pottery tiles with different colors by adopting different algorithms, so that the detectionof various defects can be realized, and the detection and intelligent grading of pottery tiles of various complex shapes and structures can be realized.

Description

Technical field [0001] The invention belongs to the field of image detection, and specifically relates to a method and system for intelligent online detection and automatic grading of ceramic tiles. Background technique [0002] The quality inspection of ceramic tiles is a very important and indispensable link in the ceramic tile production process. At present, many ceramic tile manufacturers still use manual inspection methods to complete quality inspection and product grading, resulting in large detection errors and high missed detection rates. . [0003] Some institutions at home and abroad have used machine vision technology to conduct research on the quality inspection of ceramic products. Machine vision technology is an interdisciplinary subject involving artificial intelligence, neurobiology, psychophysics, computer science, image processing, pattern recognition and many other fields. Machine vision mainly uses computers to simulate human visual functions, extract informat...

AI Technical Summary

Problems solved by technology

[0004] However, most of the existing researches are carried out on a single defect such as cracks, lack of glaze, and color difference, which is not systematic and intelligent enough.

Secondly, existing research mainly focuses on ceramic products such as ceramic tiles, terracotta tiles, and ceramic bowls with relatively simple geometric shapes. For the defect detection of terracotta products with complex and diverse geometric shapes, it is impossible to detect multiple defects at the same time, and it is impossible to realize multiple defects. Intelligent grading of terracotta tile detection for a complex shape structure

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