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Method for computing significance degree of pixels in image

A computing method and technology in images, applied in the field of computer vision, can solve problems such as unreasonable visual perception, and achieve the effect of good robustness and easy realization

Inactive Publication Date: 2010-10-20
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

Recently, Achant (reference: R.Achanta, S.Hemami, F.Estrada, et al.Frequency-tunedsalient region detection.IEEE Conf.on CVPR, 2009) proposed a simple calculation method, although by this method The obtained saliency distribution map has reached the same resolution as the original image, but in some cases, it seems unreasonable from the perspective of human visual perception

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  • Method for computing significance degree of pixels in image
  • Method for computing significance degree of pixels in image
  • Method for computing significance degree of pixels in image

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Embodiment Construction

[0024] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0025] Such as figure 1 As shown, the specific process is:

[0026] (1) Given a natural image I, for each pixel p in the image, first obtain the neighborhood area of ​​the pixel p in a group of multi-scale ranges. The neighborhood area closest to pixel p is a circular area R 0 (p), such as figure 2 As shown, its definition is as follows:

[0027] R 0 (p)={q|0≤‖p-q‖ 2 ≤r 0 , q∈∧}

[0028] in‖·‖ 2 Represents the Euclidean distance metric, ∧ represents all pixels in the image, r 0 is the radius of the circular area.

[0029] In addition to the above circular area R 0 (p), the remaining neighborhood area is a group of k ring-shaped areas surrounded by concentric circles centered on pixel p, such as figure 2 As shown, they are defined as follows:

[0030] R i (p)={t|r i-1 ≤‖p-t‖ 2 ≤r i , t∈∧}, i=1,...,k

[0031] where r i is the ring region R ...

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Abstract

The invention discloses a method for computing the significance degree of pixels in an image. Aiming at each pixel in the image, a group of adjacent areas in a multi-scale range are designed; by adopting the L*a*b* color characteristics, pixels, which have characteristic difference from the pixel, in each adjacent area are respectively computed; and the number proportion of the pixels with the difference in each adjacent area is taken as the significance degree of the pixel. The multi-scale computation of the pixels is taken into consideration, and the method has the advantages of simple computation and easy implementation. The obtained image significance degree distribution map has the same resolution with the original image, and has more reasonability in visual sense, so the input with good robustness is provided for the significance degree-based computational vision application.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a method for calculating the salient degree of pixels in an image. Background technique [0002] Studies in psychology and cognitive science have shown that when people observe an image, our visual system will quickly focus on one or several salient areas, and then further observe the content in the image. Salient regions are often the ones we are interested in. At present, the extraction of salient regions in images is widely used in the field of computer vision. For example, in the research of Content-based Image Retrieval (CBIR), if the image matching is based on the extraction of salient regions features, then the matching effect and the final extraction hit rate are better than using features extracted from the entire image. Other applications also include adaptive image compression technology (eg, JPEG2000), adaptive browsing technology for video, object recogni...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/40
Inventor 黄锐桑农王岳环刘乐元高常鑫高峻
Owner HUAZHONG UNIV OF SCI & TECH
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