Strip-shaped article surface defect on-line visual attention detection method

Abstract

The invention relates to a strip-shaped article surface defect on-line visual attention detection method. The invention fully utilizes the image pre-processing technology and the visual attention model. The method comprise steps of utilizing a background estimation image processing technology to reduce or eliminate the affect on the stick cracking defect caused by characters, trademarks, etc, highlighting surface defect information, and utilizing a visual attention model to obtain a defect characteristic remarkable diagram. The module which is based on extracting image low level visual characteristics analyzes characteristics of object image intensity, rims and directions, establishes a pyramid characteristic model, composites a characteristic image of the three characteristics through a center rotating around an operator, uses discrimination to fuse the operator, fuses the three characteristics to obtain an remarkable diagram, and highlights the cracking information to achieve the goal of extracting defect sticks. The invention can perform online detection on the surface defects of the strip-shaped article and has advantages of high speed, good interference resistance, good instantaneity and high detection accuracy.

Description

technical field [0001] The invention is an online visual attention detection method for surface defects of strip objects, which belongs to the intersecting fields of machine vision, packaging engineering and the like. technical background [0002] The packaging of strip objects, such as: ham sausage, industrial explosives, etc., is the last process of product production, and the quality of packaging directly affects the quality of products. Due to many reasons, defects on the packaging surface of strip-shaped objects may occur during the packaging process. Once these objects with defective packaging quality are missed and enter the user link, it will bring serious economic losses and negative impacts to users and enterprises. Therefore, the defect detection of strip objects is an important part of the packaging process. [0003] At present, manual detection is the main method, and the comprehensive detection and quality control of industrial explosives can be realized by o...

AI Technical Summary

Problems solved by technology

However, there are the following problems: 1) Manual inspection of products is difficult to meet the needs of production efficiency; 2) Inspection work requires a large number of workers, which greatly increases production costs; 3) Manual inspection is labor-intensive, prone to fatigue, inconsistent inspection standards, and easy false detection

[0004] The surface defect of the strip object shows that there is no abnormality in the outline of the object, but there are cracks on the surface of the object. The reason for the surface defect is that the heat seal of the side end is not firm or the friction during the movement

In the actual production process, the number of drug rolls with such defects is relatively small, but surface defects are still an important reason affecting product quality, and online detection of such defects is relatively difficult

The reason is that the surface defects of strip objects are irregular and their positions are randomly distributed, which cannot be predicted in advance, and there are texts on the surface, and the positions of the texts are also uncertain; such defects only account for a small part of the total target detection area, usually no more than 5% ;During the packaging process, the strip-shaped object presents the characteristics of fast movement

Therefore, the traditional method of detecting all target areas is not suitable for the rapid detection requirements of the packaging process of strip objects

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