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A system and method for colorizing grayscale images based on glcm

A grayscale image and colorization technology, applied in the field of image processing, can solve the problems of poor color rendering effect and inability to clearly distinguish various objects, achieve good image colorization effect, easy automatic processing, save time and labor effect

Active Publication Date: 2017-08-11
深圳翰飞网络科技有限公司
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Problems solved by technology

Although this type of method reduces human intervention and becomes an automatic method, the color rendering effect is not good, and it can only achieve a rough hue transfer, but cannot clearly distinguish various objects.

Method used

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  • A system and method for colorizing grayscale images based on glcm
  • A system and method for colorizing grayscale images based on glcm
  • A system and method for colorizing grayscale images based on glcm

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Embodiment Construction

[0039] The implementation process of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0040]A GLCM-based grayscale image colorization system includes an image block module, a grayscale co-occurrence matrix feature extraction module, a similarity matching module for establishing a corresponding relationship, a color marking and preliminary correction module, and an optimization coloring module.

[0041] A new image automatic colorization method based on the above system, such as figure 1 As shown, this method uses an image with similar content as a reference image. Firstly, the reference image and the target image are divided into blocks, and then the gray level co-occurrence matrix, gray level mean, and variance of each block are calculated as feature descriptions, and then each block is calculated. The Euclidean distance of the feature vector of the image block is used to obtain the optimal pixel block matching relations...

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Abstract

The invention discloses a grayscale image colorization system and method based on GLCM, which includes an image block module, a grayscale co-occurrence matrix feature extraction module, a similarity matching module to establish a correspondence relationship, a color marking and preliminary correction module, and an optimization coloring module. ; It can solve the shortcomings of previous methods and adapt to actual engineering needs. This method can speed up the colorization of images and improve the colorization effect of images.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to a grayscale image colorization method, in particular to a grayscale image colorization system and method based on GLCM (Gray-level co-occurrence matrix). Background technique [0002] Image is the most commonly used information carrier for human beings to understand the objective world. Image information not only includes information such as the shape and size of the scene, but also includes color information. An image without color information is an incomplete form of information representation. In reality, night vision images, pencil hand-drawn images, etc. lack rich color information. Especially in the field of night vision, low-light and thermal imaging technologies are the current mainstream technologies. These two images are grayscale images, which provide limited detail information, and the resolution of human eyes for colors far exceeds the resolution of grayscale levels. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/00G06T7/40
CPCG06T7/49G06T7/90G06T3/08
Inventor 李超王涛盛浩朱耿良
Owner 深圳翰飞网络科技有限公司
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