Industrial material quality monitoring method based on artificial intelligence and Internet of Things

• Main Authors: CAO MEICHUN, WU XUEFENG
• Format: Patent
• Language: Chinese; English
• Published: 15.12.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention relates to the technical field of image processing, in particular to an industrial material quality monitoring method based on artificial intelligence and Internet of Things, which comprises the following steps: acquiring an industrial material gray image of an industrial material; dividing the industrial material grayscale image into a plurality of image blocks, and obtaining a grayscale connected domain proportion according to the image blocks; obtaining a noisy degree according to the gray scale connected domain proportion; obtaining a main body gray interval formed by the gray values to be distributed from all the gray values in the image blocks; obtaining a pixel point distribution range and the number of to-be-distributed pixel points according to the noise-containing degree; obtaining a comparison gray level histogram according to the number of the to-be-distributed pixel points; obtaining a contrast difference according to the contrast gray histogram; obtaining an ideal gray value accord