Mean shift based grey relation infrared imaging target segmentation method

A mean shift and target segmentation technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as over-segmentation, and achieve the effect of enhancing adaptability, overcoming over-segmentation, and avoiding erroneous divisions.

Inactive Publication Date: 2011-05-18
XIDIAN UNIV
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Problems solved by technology

[0008] The purpose of the present invention is to solve the problems existing in the above-mentioned existing mean shift method, and to propose a gray correlation infrared imaging target segmentation method based on mean shift, so as to make up for the phenomenon that when the mean shift is used to segment images, it is easy to fall into local convergence and cause over-segmentation , to improve the segmentation accuracy of the target

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  • Mean shift based grey relation infrared imaging target segmentation method
  • Mean shift based grey relation infrared imaging target segmentation method
  • Mean shift based grey relation infrared imaging target segmentation method

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[0036] refer to figure 1 , the concrete steps of the present invention are as follows:

[0037] Step 1. Find the global optimal bandwidth h of the original image I.

[0038] First, the standard deviation of the original image I with the number of pixels n is calculated according to the image standard deviation formula

[0039] Secondly, according to Silverman's rule, calculate the global optimal bandwidth h:

[0040] h = ( 4 σ 5 ^ 3 n ) 1 / 5 ≈ 1.06 σ ^ n - 1 / 5 - - - ( 2 ...

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Abstract

The invention discloses a mean shift based grey relation infrared imaging target segmentation method, which mainly solves the problems of over-segmentation phenomenon and low segmentation precision in the traditional similar method. The method comprises the following steps of: (1) performing the mean shift filtering on an original image, and determining whether to calculate the mean shift convergence value according to the similarity of a current pixel point and neighborhood points; (2) merging and marking pixels of the same type to obtain an initially segmented image; (3) respectively selecting background reference values and target reference values from regions of the initially segmented image; (4) calculating the grey relation coefficient between various regions and the reference values; and (5) searching for thresholds by the utilization of inflection points of a grey relation coefficient curve, and realizing the dynamic segmentation of the image by integrating three single thresholds. The method has the advantages of fast arithmetic speed, high segmentation precision, good stability and strong adaptability, and can be used in military or civil systems such as precise infraredguidance, target detection and fire control, optical remote sensing, night navigation and the like.

Description

technical field [0001] The invention belongs to the field of image information processing, and relates to an infrared imaging target segmentation method, in particular to a gray correlation infrared imaging target segmentation method based on mean shift, which can be used for military or military applications such as infrared precise guidance, target detection and fire control, optical remote sensing, and night navigation. In civilian systems, it lays the foundation for target recognition and tracking. Background technique [0002] As the basis of target recognition and tracking, infrared imaging target segmentation is a key technology in automatic target recognition. In recent years, great progress has been made in the research of object segmentation technology, especially the threshold segmentation algorithm using the gray feature of the image has been widely used in the field of image segmentation. However, the accuracy of such algorithms for target segmentation in compl...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 刘靳李棉姬红兵杨金龙姬雪峰
Owner XIDIAN UNIV
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