A Quantitative Detection Method for Satellite Telescope Lens Surface Defects

Abstract

The invention discloses a method for quantitatively detecting defects on the lens surface of a satellite telescope. Firstly, the clustering objective function is used to classify and process optical defect images by an iterative method, and the defect contour is enhanced while removing noise; After the classification process, the active contour model is used to evolve the level set function and take the zero level set to segment the defect image; finally, the defect image extracted by the active contour model is quantified, and the binary chain code technology is used for the defect image Mark the contour of the defect to realize the quantification of the area, center of gravity, long and short diameter and perimeter of the defect area. Therefore, the present invention combines optimization of the clustering objective function for iteration, active contour model for defect image segmentation and defect quantification to enhance the damage characteristics of satellite telescope lens surface defects, reveal its contour feature information, and improve the detection accuracy. At the same time, the quantitative analysis of defects is completed.

Description

technical field [0001] The invention belongs to the technical field of surface defect detection, and more specifically relates to a method for quantitatively detecting surface defects of satellite telescope lenses. Background technique [0002] 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 particles,...

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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