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Infrared small target detection method based on angular point gaussian characteristic analysis

A technology of small target detection and Gaussian characteristics, applied in the field of target recognition, can solve problems such as difficult to achieve detection indicators

Inactive Publication Date: 2014-08-20
NANJING UNIV OF SCI & TECH
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  • Claims
  • Application Information

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Problems solved by technology

Traditional methods are difficult to achieve high signal-to-noise ratio detection indicators in complex backgrounds

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  • Infrared small target detection method based on angular point gaussian characteristic analysis
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  • Infrared small target detection method based on angular point gaussian characteristic analysis

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Embodiment Construction

[0043] The present invention is based on the infrared small target detection method of corner point Gaussian characteristic analysis, and the steps are as follows:

[0044] The first step is to extract the suspected target, which is to detect the gray information of the image through the Harris operator, obtain each corner point, use the corner point as the interest point, and use the maximum inter-class variance method to perform threshold segmentation on the interest point area to obtain the suspected object. Target. The Harris operator directly uses the grayscale information of the image for detection, and is widely used in the fields of target detection, target recognition, and target tracking. It uses the average change rate of grayscale in the window to represent the corner point in the center of the window. Let the window w produce a small displacement (x, y) on any pixel in the image, and the gray scale change rate is:

[0045] ...

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Abstract

An infrared small target detection method based on an angular point gaussian characteristic analysis comprises, according to Gaussian characteristics of infrared small target images, introducing the thought of angular point detection and drawing each interest point including the small targets; conducting threshold value segmentation on interest point areas by the OTSU method, and obtaining suspected targets; and analyzing the gaussian characteristics of each suspected target, and selecting suspected targets with the high gaussian characteristics as real targets. According to the infrared small target detection method, traditional dim target detection methods based on gray characteristics and scale characteristics are not directly used, instead, the target detection is conducted based on the space distribution characteristics of the small targets; singular points including targets are drawn through an angular point detection, and strong edge interference is effectively restrained; small targets under object background can be effectively detected, and detestability of small objects under complicated background is greatly improved.

Description

technical field [0001] The invention belongs to the target recognition technology in an infrared search system, in particular to a small infrared target detection method based on corner point Gaussian characteristic analysis. Background technique [0002] With the development of target recognition and detection technology, the target detection range is required to be farther and farther, and the projection of the corresponding target on the infrared detector plane is getting smaller and smaller. At present, the working distance of infrared imaging system can reach tens of kilometers or even hundreds of kilometers. The target on the infrared image is represented by 3*3 pixels, which is generally called an infrared point target. The information of point targets is much less than that of large targets, coupled with the uneven temperature distribution of the atmosphere, the noise of the detector itself and other noise points on the image, as well as the interference of complex b...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/62
Inventor 顾国华季尔优陈钱隋修宝左超刘宁钱惟贤何伟基张闻文路东明于雪莲毛义伟王士绅张桥舟樊晓清
Owner NANJING UNIV OF SCI & TECH