Object visual detection method and device

Abstract

The present invention relates to an object visual detection method and an object visual detection device. According to the method and the device, gradient operation is carried out on a detection region image in a template image and a to-be-detected region image in a to-be-detected image respectively, so that the template histogram comparison factor of the detection region image and the to-be-detected histogram comparison factor of the to-be-detected region image are obtained; histogram comparison is carried out on the template histogram comparison factor and the to-be-detected histogram comparison factor; and whether the to-be-detected region image is consistent with the detection region image can be judged, and visual detection and recognition of a product can be realized. Since direction judgment on whether the images are matched with each other according to the gray values of the to-be-detected region image and the detection region image is avoided, accurate visual detection and recognition of an object of which the color which is close to background color can be still realized; and since the sizes of the detection region image and the to-be-detected region image are smaller than the sizes of the original template image and the original to-be-detected image, the operation efficiency of the gradient operation is high, and the efficiency of visual detection is high.

Description

Technical field [0001] The present invention relates to the technical field of visual inspection, in particular to an object visual inspection method and device. Background technique [0002] At present, template matching algorithms are generally used for visual inspection of objects. For example, during the installation process of the chassis shell on the production line, there may often be missing parts such as screws, terminals, and silk screens. Therefore, in order to avoid missing parts. If the structure of the equipment is loose or even damaged, it is often necessary to visually inspect the location of each part on the chassis to ensure that the product is installed properly. In engineering, when the color of the part is obviously different from the background color of the chassis, the template matching algorithm can generally be used to detect whether the part is missed. However, the template matching algorithm mainly calculates the template image and the image to be match...

AI Technical Summary

Problems solved by technology

[0003] Based on this, it is necessary to provide a method and device for visual detection of an object in view of the problem that the visual detection of objects with similar background colors is more misjudged in the prior art, and the method and device can realize visual detection of objects with similar background colors , improve the effect and accuracy of visual detection of objects with similar background colors, and at the same time improve the accuracy and efficiency of detection compared with manual visual inspection, saving labor costs

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