Improvement of Image Sensor Quality Inspection Method Based on Image Recognition Algorithm

doi:10.3969/j.issn.1007-7375.2020.03.015

Abstract

Abstract: Aiming at the problem of low reliability of image sensor quality detection results and based on Laplacian operator image recognition technology, an image recognition model is established with the help of Matlab software, realizing image acquisition, image edge intelligent recognition, image feature information intelligent extraction and analysis functions. Through the experimental comparison, it is proved that the improved detection method can more accurately reflect the product quality characteristics.

Key words: image recognition algorithm, quality control method, image sensor

CLC Number:

TP391.41

ZHAO Huijuan, JIANG Pansong, HUANG Wencong. Improvement of Image Sensor Quality Inspection Method Based on Image Recognition Algorithm[J]. Industrial Engineering Journal, 2020, 23(3): 115-122.

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