Morphology and PCA (principal component analysis) based contourlet fusion method for infrared and visible light images

A technology based on morphology and image fusion, applied in the field of image processing, can solve problems such as poor texture details, and achieve clear details, good effects, and good multi-resolution effects

Inactive Publication Date: 2015-03-11
NANJING UNIV OF SCI & TECH
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Problems solved by technology

But simple fusion based on contour wave, the fusion effect is not very good in terms of contrast, sharpness, texture details, etc.

Method used

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  • Morphology and PCA (principal component analysis) based contourlet fusion method for infrared and visible light images
  • Morphology and PCA (principal component analysis) based contourlet fusion method for infrared and visible light images
  • Morphology and PCA (principal component analysis) based contourlet fusion method for infrared and visible light images

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Embodiment Construction

[0036] combine figure 1 , the present invention is based on the contour wave infrared and visible light image fusion method of morphology and PCA, comprises the following steps:

[0037] In step (1), the registered infrared image a and visible light image b are obtained.

[0038] In step (2), the infrared image a and the visible light image b in step (1) are respectively subjected to morphology-cap transformation to enhance the contrast of the image. As shown in 2, the steps of morphology-cap transformation are:

[0039] Let f(x,y) be the input image (that is, the source image f), x, y are the coordinate positions of the image pixel points, S(i,j) is the taken structural element, and i,j are the coordinates of the structural point Location. D. f and D sare the domains of f and S respectively, then there is an expansion operation, denoted as

[0040] ( f ⊕ S ) ( i ...

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Abstract

The invention discloses a morphology and PCA (principal component analysis) based contourlet fusion method for infrared and visible light images. The method includes: firstly, subjecting two images to morphology-hat transformation respectively and subjecting the two obtained images to contourlet decomposition to form a high-frequency image and a low-frequency image respectively; then, fusing the low-frequency image by a PCA method; fusing the high-frequency image by means of average gradient adaptive weighted processing; reconstructing a fused image by means of contourlet reverse transformation. The morphology and PCA based contourlet fusion method for the infrared and visible light images is used for image fusion of the infrared and visible light images, so that the fused image is high in contrast ratio, rich in information and clear in texture detail.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a contour wave infrared and visible light image fusion method based on morphology and PCA (Principal Component Analysis). Background technique [0002] Image fusion is the synthesis of images or image sequence information about a specific scene acquired by two or more sensors at the same time or at different times to generate a new interpretation of the scene, which is derived from a single Inaccessible in the information acquired by the sensor. The efficient image fusion method can comprehensively process the information of multi-source channels according to the needs, thereby effectively improving the utilization rate of image information, the reliability of the system for target detection and recognition, and the degree of automation of the system. Its purpose is to integrate the multi-band information of a single sensor or the information provided by different types...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T3/40
Inventor 刘磊李贺岳超黄伟崔民杰孔祥宇周亚运夏琪
Owner NANJING UNIV OF SCI & TECH
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