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Visual saliency object detection method

A detection method and salience technology, which is applied in the detection field of visual saliency targets, can solve problems such as low accuracy rate and interference in non-salience areas, and achieve the effect of improving accuracy and avoiding interference

Active Publication Date: 2016-08-03
JIANGSU UNIV
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Problems solved by technology

[0007] In view of the fact that the existing visual attention model has a low accuracy rate in object detection in various natural scenes and is easily disturbed by non-salient areas in natural scenes, the present invention provides a detection method for visually salient objects

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Embodiment Construction

[0044] Now in conjunction with accompanying drawing, the present invention is described further:

[0045] combined with figure 1 The method set forth in the present invention is described:

[0046] Step 1 Input the original image and divide the original image into three feature channels, including three parts of color, brightness and direction: first extract the saliency map of the color channel, and extract the saliency map of brightness and direction;

[0047] Step 2. Process the input image, that is, extract the saliency map of the color channel;

[0048] In natural scenes, the saliency is greatly affected by the brightness, so the luminance factor is also introduced when extracting the saliency image of the color channel;

[0049] Step 2.1 divides the color channel into three parts, namely brightness, respectively brightness, RG, and BY parts, and uses the Itti model to perform multi-resolution decomposition on the three parts respectively;

[0050] Brightness, RG and B...

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Abstract

The present invention discloses a visual saliency object detection method. The method comprises the steps: (1) inputting an image to be detected, extracting saliency maps of the improved color, the brightness and the direction on the basis of an Itti visual attention model through adoption of spectral residual and a frequency modulation model; (2) obtaining the comparison difference of a saliency area and a non-saliency area in each channel saliency image through k-means clustering, and obtaining the optimal weight of each channel saliency image; and (3) weighting of the saliency image of each channel, and obtaining the saliency image of an original image, wherein the saliency area of the saliency image is an object area. The visual saliency object detection method is able to improve the deficiency of the visual attention model, effectively highlight the saliency area and inhibit the non-saliency area so as to simulate the location of human vision attention for a natural scene target.

Description

technical field [0001] The invention relates to machine vision attention for target recognition, in particular to a detection method for visually salient targets. Background technique [0002] Machine vision attention can be used to extract salient areas in natural scenes. It is a key technology in computer vision and pattern recognition systems, and it is also the premise of post-processing of computer vision. The detection results of visual attention will directly affect the performance of computer vision. The effect of post-processing, with the development of science and technology, people find that the image content has a strong complexity, discomfort and all content is processed by computer vision, researchers are inspired by the human visual attention system, and hope that machine vision is also like human A visual attention model for machine vision is proposed because it has the efficient data screening ability like the visual system. [0003] The visual attention sy...

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Application Information

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IPC IPC(8): G06K9/62G06T5/50G06T5/00G06T7/00
CPCG06T5/00G06T5/50G06T2207/20221G06F18/23213G06T5/70
Inventor 戴磊蔡英凤王海陈龙王爽江浩斌袁朝春徐兴
Owner JIANGSU UNIV
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