An image synergy significance detection method based on energy optimization

A technology of energy optimization and detection method, which is applied in instruments, character and pattern recognition, computer parts and other directions, and can solve the problems of complex manual marking, missing targets, and many background noises.

Active Publication Date: 2019-03-15
HEBEI UNIV OF TECH
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is: to provide an image collaborative saliency detection method based on energy optimization, which fuses three i

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  • An image synergy significance detection method based on energy optimization
  • An image synergy significance detection method based on energy optimization
  • An image synergy significance detection method based on energy optimization

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Embodiment 1

[0137] In this embodiment, the salient object is an airplane, and the input image group contains 22 images in total, and each image contains the salient object airplane. The image collaborative saliency detection method based on energy optimization described in this embodiment, specifically Proceed as follows:

[0138] In the first step, the input image group {I 1 ,I 2 ,...,I n}, for preprocessing:

[0139] Input a set of image groups {I 1 ,I 2 ,...,I n}, using the SLIC superpixel region segmentation algorithm to perform superpixel region segmentation on all the images in the image group, where image I i pre-divided into regions for image I i Extract the average CIE-Lab color space color feature from each superpixel region in and spatial location features Compute the image I using known methods i The sth superpixel region in and image I i The s′th superpixel region in The color distance and spatial position distance between, for all images in the above input...

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Abstract

The invention discloses an image synergy significance detection method based on energy optimization, relates to the field of image data processing, fuses three important significance clues, optimizesa fused energy equation, and comprises the following steps: inputting an image group {I1, I2,..., In}, and carrying out preprocessing; Determining an initial candidate simple saliency map (shown in the description), and calculating an initial collaborative saliency map (shown in the description); and calculating an initial collaborative saliency map (shown in the description). setting a simple image Isim according to the formula shown in the specification, wherein the formula shown in the specification is shown in the specification; Respectively extracting color features of the foreground areaand the background area of the simple image; And completing image synergy significance detection. According to the method, the defects of complex manual marking, too much background noise and targetmissing in the prior art are overcome.

Description

technical field [0001] The invention relates to the field of image data processing, in particular to an image collaborative saliency detection method based on energy optimization. Background technique [0002] Image co-saliency detection is an emerging research field of computer vision, its purpose is to detect the same object or the same category of objects from two or more images, it has been widely used in image retrieval, image co-segmentation and weakly supervised localization, etc. [0003] Compared with the traditional single-image saliency detection, image co-saliency detection is an extension of visual saliency analysis on multiple images, aiming to detect the same object or the same category of objects in multiple images, therefore, the image co-saliency is significant Sex detection methods are not only affected by the contrast in a single image, but also by the correlation in multiple related images. [0004] In the prior art, image co-saliency detection methods ...

Claims

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Application Information

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IPC IPC(8): G06K9/32G06K9/34G06K9/46
CPCG06V10/25G06V10/267G06V10/462
Inventor 于明王红义刘依朱叶郝小可师硕于洋郭迎春阎刚
Owner HEBEI UNIV OF TECH
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