Background clutter measurement method based on edge structures

Abstract

The invention relates to a background clutter measurement method based on edge structures, comprising the following steps: segmenting a background image into cells of the same size as a target image; establishing a similarity measure between the target image and cell background clutter images in an image structure feature space; establishing edge structure feature descriptions of the target image and the cell background clutter images through a gradient histogram method, and selecting a Bhattacharyya coefficient to calculate the similarity measure between the image edge structures; and weighting the structure similarity measure between the target image and each cell background clutter image as the clutter measure of the cell background image based on the edge structure similarity measure between the target image and the cell background clutter image, and taking the average clutter measure of all the cell background images as the clutter measure of the whole background image. The method fully embodies the fact that human eye vision mainly focuses on the object structure in target identification, and improves the accuracy of imaging system field performance prediction and evaluation.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for measuring background clutter based on edge structure. Background technique [0002] With the continuous improvement of optical system, detector and circuit design, background clutter has gradually become the main factor affecting the performance of photoelectric imaging system. The complex clutter background environment contains scene content of many types of targets, which makes it impossible for the observer to acquire the target quickly and effectively. The background clutter effect becomes an increasingly important factor affecting the target acquisition performance of the observer. [0003] Accurate and effective quantitative description of clutter is one of the hotspots and difficulties in the field of optoelectronic imaging system performance evaluation and image processing, which lays the foundation for establishing accurate target acquisition perfor...

AI Technical Summary

Problems solved by technology

Many researchers have found that the human eye is the most sensitive and valued to the edge structure information of the image, that is to say, the edge structure information is likely to be the most important part of the image structure information, and as the most important third part of SSIM structure In the comparison of information, s(x, y) essentially obtains only the correlation coefficient of pixel values ​​between the original image sub-block and the comparison image sub-block, which cannot reflect the edge and texture structure information of the image well. It is extremely sensitive to the edge texture information of the image, and the gradient can better reflect the edge texture information of the image.

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