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Image salient area detection method based on visual attention mechanism

A visual attention mechanism and area detection technology, applied in the field of image processing, can solve the problems of areas without extraction targets, no target importance judgment, etc., and achieve the effect of accurate detection

Active Publication Date: 2012-06-20
西安敏视智能科技有限公司
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Problems solved by technology

This method considers the integrity of the target, and measures the global saliency of the image, but does not extract the target area, nor does it judge the importance of the target.

Method used

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  • Image salient area detection method based on visual attention mechanism
  • Image salient area detection method based on visual attention mechanism
  • Image salient area detection method based on visual attention mechanism

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Experimental program
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Embodiment Construction

[0032] refer to figure 1 , the implementation of the present invention is as follows:

[0033] Step 1. For the input image I, extract the intensity feature and two color features, that is, the red-green color RG feature and the blue-yellow color BY feature, and obtain three feature maps.

[0034] (1a) Convert the input natural image I to a grayscale image G:

[0035] G=0.299r+0.587g+0.114b

[0036] Among them, r, g, b are the red, green and blue color components of the input image I respectively;

[0037] (1b) Calculate the intensity feature map F from the grayscale image G 1 ,Calculated as follows:

[0038] f 1 =|G-C|

[0039] C = 1 25 Σ m = - 2 2 Σ n = - 2 2 G ( ...

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Abstract

The invention discloses an image salient area detection method based on a visual attention mechanism and mainly solves the problem that the detected salient area in the prior art is different from an object area and is low in precision. The realization process of the method comprises the following steps that firstly, the strength and color features of an original image are extracted so as to obtain three feature images, wherein, the color feature includes RG color component and BY color component; secondly, the three feature images are subject to parallactic calculation, thereby obtaining three corresponding parallactic images; thirdly, three corresponding weighted coefficients can be calculated according to the three parallactic images; and lastly, according to the three weighted coefficients, the three parallactic images are subject to the linear integration, thereby obtaining a final visual salient image. Through the invention, the precision of salient object area detection of images is effectively improved, and the anti-interference ability is good. Therefore, the method can be used in the fields of object detection, object identification, image retrieval, nature image compression, and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and specifically relates to an image salient area detection method based on the human eye visual attention mechanism, which can be used for target detection, image compression, image retrieval and the like. Background technique [0002] With the development of information technology, the rapidly expanding data and increasing demand have put forward higher and higher requirements for the efficiency of computer information processing. In computer image information processing, the content of the task is usually only a small part of the whole image. It is unrealistic and unnecessary to treat all data equally. How to quickly find and extract the part of the information related to the task is a hot spot in the field of computer image information processing. [0003] We know that humans have an exceptional ability to sift through data. In human visual information processing, a few salient re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 侯彪焦李成杨伟张向荣马文萍王爽
Owner 西安敏视智能科技有限公司