A weighted local entropy infrared small target detection method based on multi-scale morphological fusion

A small target detection and morphological technology, applied in computer parts, image data processing, instruments, etc., can solve problems such as reducing false alarm rate

Active Publication Date: 2019-05-28
西安雷擎电子科技有限公司
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Problems solved by technology

[0004] In view of the shortcomings of the above prior art in the field of infrared image small target detection under complex backgrounds, the present invention proposes a weighted local entropy (Weighted Local Entropy of Multi-scale Morphological Image Fusion, WLEMMF) based on mu

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  • A weighted local entropy infrared small target detection method based on multi-scale morphological fusion
  • A weighted local entropy infrared small target detection method based on multi-scale morphological fusion
  • A weighted local entropy infrared small target detection method based on multi-scale morphological fusion

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Embodiment Construction

[0040] Embodiments of the present invention are described in detail below, and the embodiments are exemplary and intended to explain the present invention, but should not be construed as limiting the present invention.

[0041] refer to figure 1 , the steps that the present invention realizes are as follows:

[0042] Step 1: Input an infrared image Img to be detected, the image size is m*n.

[0043] Step 2: Convert the input image Img to a grayscale image to get the image Img in .

[0044] Step 3: Background Suppression:

[0045] Based on the basic operations of expansion and erosion in morphology, f(i,j) is the initial grayscale image, and m(x,y) is the structural unit of expansion and erosion. Use the structural unit m to perform the dilation operation on the initial grayscale image, record defined as:

[0046]

[0047] In the formula, D f 、D m are the domains of f(i,j) and m(x,y) respectively. The corrosion notation fΘm is defined as:

[0048] (fΘm)(i,j)=min{f...

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Abstract

The invention provides a weighted local entropy infrared small target detection method based on multi-scale morphological image fusion, and the method comprises the steps: firstly, converting an infrared image into a gray domain, and carrying out the processing; secondly, performing multi-scale morphology Top-Hat image segmentation processing on the infrared image; solving image difference on thebasis of adjacent scale Top-Hat and obtaining minimum difference graph is obtained, and then comparing the minimum difference graph with a minimum mean value image of the image subjected to Hat transformation to obtain an image subjected to background suppression; then, obtaining a local entropy information graph by calculating the local entropy of the initial image; then, carrying out dot multiplication on the image subjected to background suppression and the local entropy information graph, and carrying out normalization to obtain a saliency map of the infrared small target; and finally, filtering and binarizing the infrared small target saliency map by using a threshold segmentation technology to obtain a processed image, the region with the binarized value of 1 being the infrared smalltarget. The method is suitable for the field of infrared small target detection, can effectively improve the accuracy of infrared small target detection, and effectively reduces the false alarm rate.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, in particular to a weighted local entropy infrared small target detection method based on multi-scale morphological fusion. Background technique [0002] Infrared small target detection technology has become an important branch of national defense, military and civilian fields. Because infrared detection technology has the advantages of all-weather, long detection distance, and good concealment, it is widely used in infrared long-distance target tracking, infrared terminal guidance, border defense, medical and health, etc. widely used in the field. However, because the imaging sensor of the infrared image is affected by factors such as the temperature and materials of the device itself, as well as the inherent characteristics of the infrared small target image itself, in a single frame image, the proportion of small target pixels in the infrared small target imaging is small, the...

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Application Information

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IPC IPC(8): G06T7/00G06T7/136G06K9/46
Inventor 李鹏王晓鹏武斌侯敏刘高高秦国栋张凯风董泽芳
Owner 西安雷擎电子科技有限公司
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