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
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[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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