Satellite telescope lens surface defect contour detection method

Abstract

The invention discloses a satellite telescope lens surface defect contour detection method. An optimized clustering algorithm is used for carrying out pixel point classification processing on an acquired optical defect image to suppress the influence of illumination intensity non-uniformity on the intensity of the acquired image, and meanwhile, a regularization item considering neighborhood spaceinformation is added to a traditional clustering function, so that not only neighborhood information is considered, but also the neighborhood information of neighborhoods is also considered to ensurethe detection precision of the defects. For the classified images, an edge detection algorithm is adopted to extract approximate defect contours, and then polynomial fitting is selected to further refine the contours, so that the fitting precision is improved, the contour feature information is better represented, and subsequent quantitative analysis on defects of the satellite telescope lens is facilitated.

Description

[0001] technology neighborhood [0002] The invention belongs to the technical field of surface defect detection, and more specifically relates to a method for detecting the surface defect contour of a satellite telescope lens. Background technique [0003] Ultra-precision optical components are an important part of many high-precision instruments and equipment systems. In the aerospace neighborhood, a large number of optical components are used in satellites, most notably satellite telescopes, and are usually on the order of meters in diameter. For satellites, its main function is to photograph, reconnaissance, and monitor the ground. Therefore, space telescopes used for satellites require high imaging sensitivity, high precision, and strong resolution. The satellite telescope is in the atmospheric environment, and the gas will not affect the shooting process. But in space, due to its very low temperature, the gas in the nebula (such as hydrogen, methane) will solidify into...

AI Technical Summary

Problems solved by technology

For the traditional precision system for detecting surface defects, although the detection accuracy is high, the equipment assembly is complicated and the cost is high, and there are strict requirements on the positional relationship and movement of the components. If the specific posture changes, the The directional indication also changes accordingly, so the operator is required to have a certain knowledge base of the optical neighborhood

The biggest disadvantage of the precision system is that the size of the detection optical components is limited. The measured objects are usually in the order of centimeters or decimeters, and it is impossible to perform in-situ non-contact defect detection on large-size optical components.

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