Multiscale image natural color fusion method and device based on over-segmentation and optimization

An over-segmentation, multi-scale technology, applied in the field of image processing, can solve the problems of image fatigue and discomfort for long-term observation, and achieve the effect of good direction selection and recognition ability, strong observability, and accurate color effect.

Active Publication Date: 2012-02-29
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] The current image color fusion method still has insufficient visual detail information, and does not give the fused grayscale image a natural color. The observer is prone to fatigue when watching the image, and it is not suitable for long-term observation.

Method used

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  • Multiscale image natural color fusion method and device based on over-segmentation and optimization
  • Multiscale image natural color fusion method and device based on over-segmentation and optimization
  • Multiscale image natural color fusion method and device based on over-segmentation and optimization

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Embodiment Construction

[0035] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0036] The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Of course, embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The ...

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Abstract

The invention provides a multiscale image natural color fusion method based on over-segmentation and optimization, which comprises the steps of: acquiring a grayscale fusion image; selecting a reference image, and carrying out over-segmentation treatment on the grayscale fusion image and the reference image; transforming the images from a RGB (Red Green Blue) color space to a 1alpha beta color space for area transmission; transmitting color information in an over-segmentation area in the reference image to the grayscale fusion image; determining a special area according to a point with the brightness higher than the integral image brightness in an infrared image; and transforming from the 1alpha beta color space to the RGB color space so as to acquire a fusion image with natural colors. The invention provides a multiscale image natural color fusion device based on over-segmentation and optimization, which comprises a transformation module, an over-segmentation module, an area transmission module, a color transmission module and a color fusion module. The method and device of the invention can improve the fusion effect of a multi-source grayscale image, enhance information resolving power, alleviate asthenopia of an observer and enhance sustainable observing ability.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a multi-scale image natural color fusion method and device based on over-segmentation and optimization. Background technique [0002] Multi-sensor image fusion is to combine the image or image sequence information about a specific scene acquired by two or more sensors using a certain algorithm to generate a new image about the scene. The fused new image has higher credibility, less blur and better comprehensibility, and is more suitable for human vision or computer detection, classification, recognition, understanding, etc., so as to improve the detection of the image detection system. and recognition ability. [0003] The methods of grayscale image fusion mainly include: [0004] 1) Simple pixel fusion: directly average or weight the pixels of the source image, typically with generalized linear weighting, principal component (PCA) methods, etc. [0005] 2) Pyramid transformati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50
Inventor 戴琼海刘宇驰
Owner TSINGHUA UNIV
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