A Method for Detection of Surface Defect Profile of Satellite Telescope Lens

Abstract

The invention discloses a detection method for surface defect contour of a satellite telescope lens. The optimized clustering algorithm is used to classify the collected optical defect images to suppress the influence of the inhomogeneity of illumination intensity on the intensity of the collected images. Regularization term, which not only considers the neighborhood information, but also considers the neighborhood information of the neighborhood to ensure the detection accuracy of the defect. After the classified image, the edge detection algorithm is used to extract the rough outline of the defect, and then polynomial fitting is selected to further refine the outline, improve the fitting accuracy, and better characterize the outline feature information, so that the satellite telescope lens can be used later. Quantitative analysis of defects.

Description

[0001] Technical neighborhood [0002] The present invention belongs to the surface defect detection technology neighborhood, more specifically, relates to a satellite telescope lens surface defect profile detection method. Background [0003] Ultra-precision optics are an important part of many high-end instruments and equipment systems. In aerospace neighborhoods, a large number of optical components are used in satellites, most notably satellite telescopes, and are usually in the order of meters in diameter. For satellites, their main function is to shoot, reconnoiter and monitor the ground, so the space telescope used for satellites requires high imaging sensitivity, high precision and strong resolution. Satellite telescopes in the atmospheric environment, gas does not affect the shooting process. But in space, due to its low temperature, the gases in the nebula (such as hydrogen, methane) will solidify into particulate matter and attach to the lens, forming a surface defect. T...

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