Multichannel image processing method for curved compound eye imaging system

Abstract

The invention discloses a multichannel image processing method for a curved compound eye imaging system and relates to the application fields of biologic clinical experiments, industrial machine vision, aerial surveillance in defense industries and the like. The image processing method aims at a distribution structure of curved surfaces of the curved compound eye imaging system and imaging features of multi-dimensional optical channels, the corresponding multichannel image processing method is provided by analyzing and researching the relation between a two-dimensional image collected by each sub-eye image collection channel and a curved three-dimensional space structure of the compound eye imaging system; the large-visual-field dead-zone-free detection of the curved compound eye imaging system is realized by utilizing techniques such as slicing, rotating and developing of the image; the image processed and obtained by utilizing the multichannel image processing method is high in definition and strong in visuality and meets practical requirements, and the application of the curved compound eye imaging system is further promoted by a research result.

Description

technical field [0001] The invention relates to the technical field of compound eye imaging system and image processing, in particular to a multi-channel image processing method of a curved surface compound eye imaging system.  Background technique [0002] With the wide application of optical imaging systems in the fields of biology, industry and national defense, people have higher and higher requirements for the performance of the system. Among them, the field of view of the imaging system is an important indicator of the optical detection system, and its performance needs to be improved urgently. The traditional single-channel imaging structure increases the field of view by using a complex refraction / diffraction hybrid system, which contains aspheric optical glass structures of various materials. These optical glass materials are not only expensive, but also very difficult to process. ; Secondly, the secondary spectrum in the imaging structure is difficult to correc...

AI Technical Summary

Problems solved by technology

The bionic optical compound eye has the advantages of small size and light weight. However, due to its small size, the small eye uses a regular microlens array for bionics, which increases the difficulty of manufacturing the compound eye. At the same time, the obtained image is blurred and there is a dead zone. It is necessary to study the follow-up images. Approach

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