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Infrared and visible light image fusion method based on regional property fuzzy

An image fusion and regional feature technology, applied in the field of image processing, can solve problems such as blurring of regional features, achieve the effects of high accuracy, improve fusion performance, and avoid translational change characteristics

Inactive Publication Date: 2006-08-23
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

[0004] Aiming at the defects in the above-mentioned prior art, the technical problem to be solved by the present invention is to provide a method that can deal with the regional fusion decision-making problem in the fuzzy space, and can solve the regional consistency problem in the multi-resolution transform domain to improve fusion Infrared and visible light image fusion method based on regional feature fuzzy to achieve ideal practical effect

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  • Infrared and visible light image fusion method based on regional property fuzzy
  • Infrared and visible light image fusion method based on regional property fuzzy
  • Infrared and visible light image fusion method based on regional property fuzzy

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Embodiment Construction

[0015] The embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings, but the present embodiments are not intended to limit the present invention, and all similar methods and similar changes of the present invention should be included in the protection scope of the present invention.

[0016] For the flow of an image fusion method based on regional feature blurring provided by an embodiment of the present invention, see figure 1 shown in figure 1 Among them, the images to be fused are infrared sensor image A and CCD sensor image B. First, the infrared sensor image A and the CCD sensor image B are respectively transformed by wavelet frame (multi-resolution); the image signals are expressed in multi-scale form after decomposing the coefficients; the multi-scale representation of the signal has two parts, one part is reflecting The high-frequency component part of the signal mutation, that is, the detail part of ...

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Abstract

This invention relates to a method for interfusing fuzzy images based on region characters including the following steps: 1, applying small wave frames to carry out multi-dimension resolutions to being interfused images to get a series of high frequency components and a lowest component, 2, carrying out K average clustering to the low frequency part of the infrared images and dividing it to three kinds, 3, expressing the three kinds to an important target region, a second important region and a background region to make a decision to the interfusion based on the fuzzy region character and measurement target of the HF part of a sensor multi-image, 4, sending the final multi-resolution images into a filter made up of a same small wave basic function to be filtered and summing up the filtered image signals, lowering the transformation layer number of the small wave frame by one, carrying out a process of the fall-sample to the filter then to transform the next layer inversely and repeating the process till finishing the inverse transformation to the entire wave frames to get a final fused image.

Description

technical field [0001] The present invention relates to image processing technology, in particular to a multi-sensor image fusion method based on regional feature fuzziness, which is an image fusion method combining multi-scale, fuzzy theory and image region segmentation in the field of information fusion. It can be widely used in monitoring, safety inspection and other systems. Background technique [0002] In recent years, multi-sensor image fusion technology has been widely concerned in the fields of machine vision, remote sensing, medicine, military and so on. Multi-sensor image fusion refers to the image data collected by multiple sensors about the same target or scene, which is properly comprehensively processed according to a certain algorithm to generate a new image that meets certain requirements. Due to the redundancy and complementarity between the images acquired by multiple sensors, image fusion can obtain an image that is more suitable for human eyes and machi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 刘刚黄自元吕学勤
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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