Bottom-up visual saliency generating method fusing local-global contrast ratio

A technology of global contrast and local contrast, applied in computer parts, image data processing, instruments, etc., can solve the problem of not being able to highlight well, only considering the global contrast or local contrast of the image, etc.

Inactive Publication Date: 2014-08-20
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0003] Although the above-mentioned saliency calculation models can obtain satisfactory results in a specific sample library, there is still an obvious defect in these models: they only consider a point in the global contrast or local contrast of the image, and do not Simultaneously apply these two kinds of comparative information to

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  • Bottom-up visual saliency generating method fusing local-global contrast ratio
  • Bottom-up visual saliency generating method fusing local-global contrast ratio
  • Bottom-up visual saliency generating method fusing local-global contrast ratio

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Embodiment Construction

[0023] Now in conjunction with embodiment, accompanying drawing, the present invention will be further described:

[0024] The hardware environment used for implementation is: Intel Pentium2.93GHz CPU computer, 2.0GB memory, the software environment of operation is: Matlab R2011b and Windows XP. All the images in the BRUCE database are selected as test data in the experiment. The database contains 120 natural images, and it is an internationally open database for testing visual saliency calculation models.

[0025] The present invention is specifically implemented as follows:

[0026] 1. Extract the tiles and their features in the image: first downsample the image to N×N pixels, and then use the size ∈ [5,50] with a step size of A square sliding window of , extracts the patch p in the downsampled image i , tile p i The vector formed by the pixel values ​​in will be used as the feature x of the block i ; where i∈[1,M], M is the number of tiles in an image.

[0027] 2. Con...

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Abstract

The invention provides a bottom-up visual saliency generating method fusing the local-global contrast ratio. According to the method, firstly, the local contrast ratio between a certain image block in an image and the other image blocks in a neighbor domain and the global contrast ratio between the image block and the remaining image blocks in the image are calculated based on the sparse coding theory, then, the two kinds of comparative information are organically combined together, the center offset is added into the two kinds of comparative information, finally, fusion of the local contrast ratio and the global contrast ratio is achieved, and a visual saliency calculation model with better accuracy and visual is built.

Description

technical field [0001] The invention belongs to the field of computer vision algorithm research, and relates to a bottom-up visual saliency generation method that integrates local-global contrast, and can accurately and robustly calculate a saliency map of a given image in a natural image database. Background technique [0002] Visual salience is an important function of visual attention, which means that the observer selects an important content from a complex visual scene to focus on, while ignoring other less important content. Some content in a visual scene grabs the observer's attention more than others, and we say they have higher visual salience. The idea of ​​visual saliency has been widely used in the computational model of visual attention. The saliency measurement method adopted by ITTI in its classic visual attention computational model is based on the difference of local visual features between pixels and their surrounding neighborhoods; Ma et al. In 2003, a sa...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06T7/00
Inventor 韩军伟张鼎文郭雷
Owner NORTHWESTERN POLYTECHNICAL UNIV
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