Visual salience region detection method and device

A region detection and notable technology, applied in the direction of instrumentation, calculation, character and pattern recognition, etc., can solve the problems of increased computational complexity, high time complexity and high space complexity

Inactive Publication Date: 2019-03-29
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

The scale of the number of pixels will lead to an increase in computational complexity, and even a high-dimensional vector search tree structure mu

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  • Visual salience region detection method and device
  • Visual salience region detection method and device
  • Visual salience region detection method and device

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Embodiment Construction

[0070] In order to make those skilled in the art better understand the solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0071] The terms "first", "second", "third", "fourth", etc. in the description and claims of the present application and the above drawings are used to distinguish different objects, rather than to describe a specific order. . Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of ste...

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Abstract

The embodiment of the invention discloses a visual salience region detection method and device. The method comprises the following steps: firstly, selecting a plurality of candidate image region blocks for each pixel point from an image to be processed by a random search method, and then selecting a target image region block with the highest similarity to the pixel points from each candidate imageregion block; Calculating a visual saliency value of each pixel point according to similarity between each target image block and the pixel points; Generating a visual saliency map of each level of the image to be processed based on the visual saliency values of each pixel point of the image to be processed; Finally, according to the visual salience values of the two adjacent layers, calculatingthe weights of the visual salience maps of each layer, and fusing the visual salience maps of each layer according to the weights. The present application improves the calculation efficiency of the pixel point visual saliency value, thereby effectively improving the detection efficiency of the visual saliency region of the image to be processed, and can also improve the detection accuracy and precision of the visual saliency region in the image to be processed.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of machine vision, and in particular, to a method and device for detecting a visually saliency region. Background technique [0002] With the rapid development of machine vision technology, the detection of visual saliency regions based on image processing, as a key link in the realization of this technology, has been urgently developed. [0003] The visual attention mechanism is an important sensory feature possessed by humans and highly intelligent animals. This mechanism can quickly find visually significant and interesting target objects from massive visual information, and can quickly "ignore" other uninteresting target objects. Reduce the amount of computation in the information processing process. Therefore, introducing the visual attention mechanism into the image segmentation process can significantly improve the work efficiency of the image processing process. In the process...

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Application Information

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IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/462G06F18/22
Inventor 陈沅涛蔡烁陈曦张建明邝利丹
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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