Topology-graph-cut fusion optimization based multi-spectral infrared image background suppression method
A background suppression, infrared image technology, applied in the field of multi-spectral infrared image background suppression, can solve the problems of high false alarm probability of background suppression results, difficulty in accurately distinguishing target and background clutter, etc.
Active Publication Date: 2018-10-16
XIDIAN UNIV
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However, for complex and changeable non-stationary backgrounds, these methods are difficult to accurately distinguish between targets and background clutter, and are easily affected by parameters such as window size and structural elements, which usually make the false alarm probability of background suppression results higher.
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Embodiment 1
[0158] An embodiment of the present invention provides a method for suppressing the background of an infrared multispectral image based on topology-graph-cut fusion optimization, such as figure 1 As shown, the method is specifically implemented through the following steps:
[0159] Step 101: Perform local preprocessing on the dual-band infrared images respectively.
[0160] Specifically, the 4-neighborhood operator is used to obtain the local extremum points in the image, and the preprocessing algorithm can be expressed by formula (1).
[0161]
[0162] Among them, u represents an image with a size of M×N, the subscript s represents a certain pixel in the image u, and u s represents the gray value of pixel s; set n s ={w,e,n,s} indicates the four adjacent pixels of pixel s, Then it represents the gray value of pixel s after local preprocessing.
[0163] Step 201: Using topological differential technology to suppress strong undulating edges on the obtained preprocessed ...
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The invention discloses a topology-graph-cut fusion optimization based multi-spectral infrared image background suppression method. Multi-spectral infrared images are preprocessed by local Patch method to obtain preprocessed images; an optimal diffusion coefficient is obtained by suppressing strong fluctuation edges of the preprocessed images according to a topological differential method; the backgrounds of single-band images are suppressed according to the obtained optimal diffusion coefficient combined with a gradient average filter; a plurality of single-band clutter-suppressed target images are obtained; according to a scale region energy theory model, the obtained single-band clutter-suppressed target images are fused to obtain a multi-spectral fusion background suppression result image; the multi-spectral fusion background suppression result image is optimized by a graph-cut strategy to eliminate the local contour effect of the fused image; and finally a background-suppressed image is obtained. The invention can effectively suppress the high gray level and the violent fluctuation infrared background contained in the infrared image, and can highlight the target information.
Description
technical field [0001] The invention belongs to the technical field of infrared image processing, and in particular relates to a method for suppressing the background of a multi-spectral infrared image based on topology-graph cut fusion optimization. Background technique [0002] Infrared image background suppression has attracted more and more attention in the field of infrared image processing, because it has potential important applications in infrared weak and small target detection; especially for the detection of small targets in infrared images with complex background and low contrast ; For example, it is extremely difficult to accurately detect small targets in complex sky backgrounds and sea-sky backgrounds; in order to solve this problem, infrared image background suppression is a key preprocessing technology, which can effectively suppress The complex undulating background enhances the contrast between the target and the background, which is conducive to improving...
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Login to View More IPC IPC(8): G06T5/50
CPCG06T5/50G06T2207/10048G06T2207/20221G06T7/11
Inventor 秦翰林王婉婷程文雄延翔王春妹梁瑛杨硕闻彭昕胡壮壮
Owner XIDIAN UNIV