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

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...

AI Technical Summary

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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