Scratch detection method and device

Abstract

The invention relates to the field of image processing, and discloses a scratch detection method and device. The scratch detection method comprises the steps of acquiring a first image of the surface of an object to be detected; performing denoising processing on the first image to obtain a second image of the surface of the object to be detected after denoising processing; and judging whether there is a standard scratch in the second image or not, and displaying a judgment result. The embodiment of the invention further provides a scratch detection device. Scratches on the surface of the object to be detected can be effectively detected according to the invention. Meanwhile, a lot of manpower can be saved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a scratch detection method and device. Background technique [0002] With the rapid development of electronic products, the quality requirements of electronic products are becoming more and more stringent. For example, small scratches that are difficult to see with the naked eye on optical discs and other electronic products are considered defective. Therefore, the inspection of electronic products such as optical discs has gradually become an indispensable part of improving product quality. In the prior art, it is mainly judged whether the electronic products such as optical discs are qualified by manually observing whether there are scratches on the surface of the electronic products such as optical discs. [0003] In the process of realizing the present invention, the inventors found that there are at least the following problems in the prior art: on the one hand, each product...

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Problems solved by technology

[0003] In the process of realizing the present invention, the inventors found that there are at least the following problems in the prior art: on the one hand, each production line is equipped with manpower, and the day and night shifts take turns to detect whether there are scratches on the surface of electronic products such as CDs, resulting in high labor costs. At the same time, long-term human fatigue is prone to misjudgment, which affects product testing results

On the other hand, the existing technology can only detect obvious scratches through manual observation, and there are a large number of misjudgments for small scratches that are difficult to distinguish with the naked eye. It is already difficult to distinguish with the naked eye, which makes it more and more difficult to manually detect whether there are scratches on the surface of electronic products such as optical discs

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