Edge-based image significant region detection method

An area detection and salience technology, applied in the field of computer vision, can solve problems such as only considering color contrast and dependence

Active Publication Date: 2017-02-01
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

The former only considers the color contrast, and the la...

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Embodiment Construction

[0017] The preferred embodiments of the present invention are given below in conjunction with the accompanying drawings to describe the technical solution of the present invention in detail.

[0018] like figure 1 As shown, it is a processing flowchart of an example of the edge-based image salient region detection method of the present invention, including the following steps:

[0019] Step 1: Obtain the ultra-metric contour map UCM from the original image through edge detection;

[0020] Step 2: For UCM, use different thresholds to obtain two superpixel divisions of different scales {R i},i=1,2,...,N R and {r i},i=1,2,...,N r , where N R Represents the number of fine-grained superpixels, R i represents the i-th superpixel with fine grain, N r Represents the number of coarse-grained superpixels, r i Represents the i-th superpixel of coarse granularity; use 0.01 to obtain fine-grained superpixel segmentation, and use the obtained superpixel number not greater than 50 to...

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Abstract

The invention discloses an edge-based image significant region detection method. The method comprises the following steps of: 1, carrying out edge detection on an original image to obtain an ultrametric contour map UCM; 2, aiming at the UCM, obtaining two super-pixel divisions in two different scales through different threshold methods; 3, on a fine-granularity super-pixel division layer, considering the color contrast, space prior and boundary prior at the same time to obtain an initial significance value; 4, on the fine-granularity super-pixel division layer, establishing a non-directional diagram by taking each super-pixel as a node and taking edge intensities as edges, and obtaining background prior through calculating geodesic distances of different nodes on the diagram; and 5, jointly considering the initial significance value, the background prior and the consistency of different scales to obtain a final significance value. According to the method disclosed by the invention, uniform high-brightness significant objects or regions can be obtained, and benefits are brought to the applications such as image scaling and image segmentation.

Description

technical field [0001] The invention relates to a computer vision technology, in particular to an edge-based image salient region detection method. Background technique [0002] Nowadays, there is an increasing demand for high-quality and high-definition image content. However, when human eyes face complex scenes, they often only focus on a few prominent areas, which are called visually salient areas. At present, some visual saliency algorithms have been proposed at home and abroad, for example, Cheng (M.Cheng, N.J.Mitra, X.Huang, P.H.S.Torr, S.Hu, Global contrast based salient region detection, IEEE Transactions on Pattern Analysis and Machine Intelligence 37(3 ) (2015) 569–582.) proposed a global contrast algorithm based on the region histogram, which measures the color distance between regions by calculating the contrast through the histogram. This method can achieve good results when the regional contrast is obvious, and the effect will drop significantly when the regi...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T7/12
Inventor 阳兵高志勇张小云陈立
Owner SHANGHAI JIAO TONG UNIV
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