Quantitative detection method for surface defects of large-aperture telescope lens

Abstract

The invention discloses a quantitative detection method for surface defects of a large-aperture telescope lens, which comprises the following steps of: firstly, adding a weight item, a regular item and an inter-class dispersion penalty item in a clustering objective function to optimize the clustering objective function, classifying an optical defect image by adopting an iteration method, and enhancing a defect contour while removing noise; evolving the classified image by a geodesic line active contour model through a level set function, and taking a zero level set to segment a defect image; and finally, quantifying the extracted defect image, and marking the defect contour line of the defect image by adopting a binary chain code technology so as to quantify the area, the gravity center, the long diameter, the short diameter and the perimeter of the defect region. According to the method, iteration of the optimized clustering objective function, defect image segmentation of the active contour model and defect quantification are combined, so that the damage features of the defects on the surface of the satellite telescope lens are enhanced, the contour feature information of the defects is shown, and quantitative analysis of the defects is completed while the detection precision is improved.

Description

[0001] technology neighborhood [0002] The invention belongs to the technical field of surface defect detection, and more specifically relates to a quantitative detection method for large-diameter telescope lens surface defects. 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 in...

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.

Images