Image vision significance calculation method based on color histogram and global contrast

A technology of global contrast and color histogram, applied in the field of image processing, can solve problems such as difficult to meet application requirements, and achieve the effect of improving the results of saliency detection

Active Publication Date: 2011-07-20
TSINGHUA UNIV
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Problems solved by technology

This method usually takes several seconds to process a picture, which is difficult to meet the application requirements of many fact processing

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  • Image vision significance calculation method based on color histogram and global contrast
  • Image vision significance calculation method based on color histogram and global contrast
  • Image vision significance calculation method based on color histogram and global contrast

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Embodiment Construction

[0028] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0029] Such as figure 1 As shown, it is a processing flowchart of an embodiment of the image visual saliency calculation method based on color histogram and global contrast in the present invention, including:

[0030] Step S101, quantize the color space to obtain a group of representative colors. The color quantization method used in the experiment divides the color space evenly into n 3 The average value of the color in each area is used as the representative color of the area. In actual calculation, the larger the value of n in the calculation process, the greater the calculation load of the entire algorithm. In the experiment, preferably n=12 can get good results. ...

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Abstract

The invention discloses an image vision significance calculation method based on a color histogram and global contrast, comprising the steps of: S1, quantizing color space to obtain a group of representative colors; S2, calculating the occurrence frequency of colors corresponding to the representative colors in an input image to constitute a histogram; S3, calculating the significance value of the representative colors according to the difference between each representative color and other representative colors; and S4, for each representative color, giving the significance value of the representative colors corresponding pixels. By means of the method provided by the invention, the significance value of image pixels can be rapidly and effectively analyzed.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image visual saliency calculation method based on color histogram and global contrast. Background technique [0002] Visual attention is an important mechanism to help the human visual system to recognize scenes accurately and efficiently. Obtaining salient regions in images by computational methods is an important research topic in the field of computer vision. It can help the image processing system allocate computing resources reasonably in subsequent processing steps. Saliency map is widely used in many computer vision applications, such as segmentation of objects of interest (patent 200910046276, 200910081069), object recognition, adaptive image compression, content-sensitive image scaling (patent 200910092756), image retrieval (patent 200910081069) and so on. [0003] Image visual saliency detection has always been a topic of great concern to researchers. Th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/40
CPCG06T7/40G06T7/408G06T7/90
Inventor 胡事民程明明张国鑫
Owner TSINGHUA UNIV
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