Image saliency detection method and device based on correlation constraint graph sorting

A technology related to constraints and detection methods, used in instruments, character and pattern recognition, computer parts, etc.

Active Publication Date: 2018-11-20
ANHUI UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an image saliency detection method and device based on correlation constraint graph sorting, so as to solve the deficiencies in the existing graph-based manifold sorting model

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  • Image saliency detection method and device based on correlation constraint graph sorting
  • Image saliency detection method and device based on correlation constraint graph sorting
  • Image saliency detection method and device based on correlation constraint graph sorting

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Embodiment Construction

[0085] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0086] In order to solve the problems in the prior art, the embodiment of the present invention provides an image saliency detection method and device based on the sorting of correlation constraint graphs. The following firstly discusses the image saliency detection based on the sorting of correlation constraint graphs provided by the embodiment of the present invention method is introduced.

[0087] figure 1 A schematic flow chart of an image saliency detection method based on the sorting of correlation constraint graphs provided by an embodiment of the present invention; figure 2 A schematic diagram of the pri...

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Abstract

The invention discloses an image saliency detection method and device based on correlation constraint graph sorting. The method comprises the steps of performing super-pixel segmentation on a to-be-detected image, building a closed-loop graph model, and then calculating prior information of each super-pixel node; extracting information of color, texture, position and the like of an input image; obtaining a foreground probability value of each super-pixel node; taking a set of the nodes with the foreground probability values greater than a first preset threshold value as a foreground seed pointset ind_fore; taking a set of the nodes with the foreground probability values smaller than a second preset threshold value as a background seed point set ind_back, wherein the first preset thresholdvalue is greater than the second preset threshold value; and performing calculation by using a correlation constraint graph sorting model to obtain a foreground probability S_f of each super-pixel node, and using a foreground probability value S_f as a final saliency estimation value S_final. By applying the image saliency detection method and device, a saliency detection result can be more accurate.

Description

technical field [0001] The present invention relates to a saliency detection method and device, and more particularly to an image saliency detection method and device based on correlation constraint map sorting. Background technique [0002] With the rapid development of computer and network communication technology, there are more and more image data. Massive multimedia image data has brought great challenges to information processing. In recent years, the main research hotspot is how to efficiently store, analyze and process these image information. Saliency detection is an important preprocessing step used to reduce computational complexity in the field of computer vision. The task of salient object detection is to locate and segment the most prominent foreground object from the scene. The application fields of this technology are particularly wide, such as: object detection and recognition, content-based image retrieval, context-aware image resizing, video object detect...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/46
CPCG06V10/462
Inventor 江波关媛媛汤进罗斌
Owner ANHUI UNIVERSITY
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