Lens detection method and device

Abstract

The invention discloses a lens detection method and device. The method comprises the following steps: step 1, extracting pixels with brightness higher than a brightness threshold in an image shot by a to-be-measured lens based on the predetermined brightness threshold; step 2, in the extracted pixels, determining two pixels having the largest distance, and determining the distance between the two pixels; and step 3, comparing the largest distance with a predetermined distance threshold, and determining whether the to-be-measured lens is qualified according to a comparison result. By adoption of the lens detection method and device disclosed by the invention, the detection can be performed in a unified and objective manner to avoid the problems of high misjudgment rate and easy detection leakage caused by manual judgment, so that the detection accuracy is relatively high; and moreover, since the image processing method adopted by the lens detection method and device disclosed by the invention is relatively simple, it is easy to implement, the processing efficiency is relatively high, the detection time can be effectively shortened, which is conducive to improving the production efficiency.

Description

technical field [0001] The present invention relates to the field of image processing, and in particular, to a lens detection method and device. Background technique [0002] When the camera lens forms a real image of an object, in addition to the imaging light, there are other non-imaging rays that diffuse on the image surface of the optical system. These non-imaging rays are called stray light. Stray light usually comes from radiation sources outside the system, internal radiation sources, and non-imaging light energy from scattering surfaces, such as reflected light from various refractive surfaces such as optical components and structural parts, reflected light from the inner wall of the instrument, diffuse reflection of the lens itself, or The reflection of the lens barrel may cause stray light. In addition, the problem of stray light may also occur due to dust contamination of optical parts, damage to optical components, glue leakage, mismatched apertures, and large di...

AI Technical Summary

Problems solved by technology

However, at present, the judgment of whether there is stray light in the image is mainly based on the human eye, which leads to the following problems:

[0005] 1. The determination of stray light has high requirements on the ability of personnel, and the personnel who are not experienced enough are prone to misjudgment and missed detection when judging stray light; if in order to avoid the problem of missed detection and misjudgment, it is necessary to Multiple stray light tests are used in the process, not only the process is more complicated, but also the labor cost is high and the efficiency is low;

[0006] 2. When manually judging stray

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