Small target detection instrument based on Fourier optics and detection method thereof

Abstract

The invention discloses a small target detection instrument based on Fourier optics and a detection method thereof. The detection instrument comprises an image acquisition preprocessing module, an image matching module and a small target detection and output module. The detection method utilizes a CCD camera to obtain a small-eye image, the small-eye image is outputted to a FPGA chip after being preprocessed by a programmable video signal processor to sequentially complete evaluation and splicing processing of matching parameters and nonlinear compression processing of bionic vision so as to obtain a compressed image, and the compressed image outputs a small target image after performing small target existence analysis and identification extraction processing by utilizing a DSP chip. The small target detection instrument is low in cost, low in calculation complexity and simple and flexible in principle, is not limited by movement speed of targets, can detect existence of small targets which are static in a scene or have identical movement speed with the scene, is strong in noise interference, and has certain robustness to complex backgrounds.

Description

technical field [0001] The invention relates to a small target detector and a detection method based on Fourier optics, belonging to the field of image signal acquisition and processing. Background technique [0002] In applications such as video object tracking and industrial product inspection, it is often necessary to track and identify moving objects. When the target is far away from the imaging system, the image of the target only occupies a single or a few pixels in the scene image, and the morphological characteristics of such a small-sized target are similar to a point target. Because the imaging process is often affected by noise and external environmental interference, the tiny target is close to the random noise in the image, which increases the difficulty of identification and extraction. [0003] At present, in the method of extracting and identifying tiny targets, a camera with high spatial resolution is firstly used on the imaging sensor to reduce interferenc...

AI Technical Summary

Problems solved by technology

This method has a wide range of applications, but this method will limit the change speed of the background. Only slowly changing or basically unchanged backgrounds are effective, and the registration of related scenes is required to accurately remove the background.

The common disadvantage of the above methods is that the ability to extract tiny targets is poor when the tiny target and the background are relatively still, or the movement difference is small.

5. Compared with the traditional digital signal processing method, the compound eye detection of tiny targets has the characteristics of simplicity and speed, which is unmatched by signal processing algorithms.

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