Image saliency detection method based on region description and priori knowledge

A technology of region description and prior knowledge, applied in image analysis, image data processing, instruments, etc., can solve problems such as unsatisfactory detection results, poor image saliency detection, background noise interference, etc.

Inactive Publication Date: 2014-10-15
SOUTH CHINA UNIV OF TECH
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  • Application Information

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Problems solved by technology

However, because only the color histogram and spatial relationship are used, and the obtained saliency map is based on segmented regions rather than pixels, the final saliency map is relatively rough, and the detection results are not ideal when the background is complex.
[0010] To sum up, most of the existing saliency detection methods based on segmented regions only use the color features of the image, resulting in the final generated saliency map being relatively rough, which may contain a lot of background noise interference, and the effect of saliency detection on images with complex backgrounds is relatively poor. poor

Method used

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  • Image saliency detection method based on region description and priori knowledge
  • Image saliency detection method based on region description and priori knowledge

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Embodiment

[0085] Such as figure 1 As shown, the image saliency detection method based on region description and prior knowledge implemented in this implementation includes the following steps:

[0086] (1) The image to be detected (such as figure 2 ) to pre-segment, generate superpixels, and obtain a pre-segmented image (such as image 3 ); specifically include the following steps:

[0087] (1-1) Calculate the image complexity and the number of segments N;

[0088] First convert the image to be detected into a grayscale image, then calculate the grayscale co-occurrence matrix in the four directions of 0°, 45°, 90°, and 135°, and then calculate the energy, entropy, and correlation of the grayscale co-occurrence matrix in the four directions and the four commonly used features of uniformity, calculate the complexity of the four directions of 0°, 45°, 90°, and 135° according to the following formula,

[0089] GrayComplexity(α)=entropy(α)+homogeneous(α)-energy(α)-correlation(α)

[0090]...

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Abstract

The invention discloses an image saliency detection method based on region description and priori knowledge. The method comprises the following steps that: (1) an image to be detected is subjected to pre-segmentation, superpixels are generated, and a pre-segmentation image is obtained; (2) a fusion feature covariance matrix of the superpixels is generated; (3) feature different region descriptors and space distribution region descriptors of each superpixel are calculated; (4) the initial saliency value of each pixel point of the image to be detected is calculated; (5) a priori saliency region and a background region of the image are obtained; (6) the saliency weight of each pixel point of the image to be detected is calculated; and (7) the final saliency value of each pixel point is calculated. The image saliency detection method has the advantages that the saliency region can be uniformly highlighted in an obtained final saliency map; the background noise interference is inhibited; a good saliency detection effect can be achieved in ordinary images, and the processing on the saliency detection of complicated images can also be realized; and the processing on subsequent image key region extraction and the like can also be favorably carried out.

Description

technical field [0001] The invention relates to the field of image intelligent processing, in particular to an image saliency detection method based on region description and prior knowledge. Background technique [0002] With the rapid development of image processing technology, image visual saliency detection has become a topic of much concern. Saliency detection is widely used in various fields of image processing, such as image segmentation, image retrieval, object detection and recognition, adaptive image compression, image stitching, etc. [0003] When people observe an image, they usually pay uneven attention to each region of the image. The regions that receive more attention and attract people's interest are called salient objects. Studies in psychology, perception and other disciplines have shown that people are more inclined to obtain image information through salient objects, and analyze and understand images. Compared with other regions, salient objects play ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/40
Inventor 王伟凝蔡冬姜怡孜韦岗
Owner SOUTH CHINA UNIV OF TECH
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