Mobile visual focus based image vision salient detection method

Abstract

The invention provides a mobile visual focus based image vision salient detection method. The mobile visual focus based image vision salient detection method includes inputting an original image, applying an image based partitioning algorithm to partitioning the original image into K areas, performing quantization and high-frequency color screen on the original image, using a partition image to obtain partition areas corresponding to a quantization image, performing area comparison and calculation to obtain a salient value of some area so as to obtain an initial salient image, using an image center as an initial visual focus to perform weighting calculation on the initial salient image, using a salient attraction module to calculate a moving distance and a moving direction of a visual focus so as to obtain the next visual focus until the current focus distance and the last focus distance are smaller than 1, and using a final visual focus to weight a salient image obtained by a visual focus prior to the final visual focus so as to obtain a final salient image. Compared with image vision salient detection methods in the prior art, the mobile visual focus based image vision salient detection method has the advantages of being high in accuracy of the salient image, and capable of evenly highlighting salient objects and well inhibiting image backgrounds.

Description

technical field [0001] The invention relates to the fields of computer vision and image processing, in particular to an image visual saliency detection method based on moving visual focus. Background technique [0002] In the long course of human evolution, people have acquired the ability to quickly acquire visual information and make quick and accurate decisions on this information. In various image processing techniques, what the computer pays attention to is not the entire content of the image, but a part of the region of interest or the region of non-interest. Use the visual saliency algorithm to detect the salient areas of the image, and give priority to the processing of different areas, so as to make better use of computing resources and improve computing efficiency. Nowadays, visual saliency inspection technology has been widely used in many image processing fields such as image retrieval, image and video compression, object detection, image and video segmentation,...

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Problems solved by technology

In addition, the existing schemes also include image saliency map based on local contrast analysis method, saliency region extraction method based on multi-scale contrast analysis, frequency-tuned visual saliency algorithm, visual saliency detection algorithm of maximum symmetric periphery, however, The visual saliency map based on the local contrast analysis method has high saliency at the edge of the image, but does not highlight the entire object uniformly; the visual saliency algorithm based on frequency tuning is not suitable for those salient objects occupying too much pixels; and the saliency detection algorithm of the maximum symmetrical perimeter does not consider the influence of spatial information on visual saliency

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