Image interested object automatic retrieving method and system based on complementary significant degree image

A technology of automatic extraction of objects of interest, applied in the field of image processing, can solve problems such as lack of integrity and accuracy, unsatisfactory effects, and inability to better conform to human visual perception, achieving high integrity and accuracy, and solving problems Effects of Integrity Issues

Inactive Publication Date: 2010-09-29
PEKING UNIV
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Problems solved by technology

[0007] First, the extraction results of non-saliency-based methods cannot better conform to human visual perception, and the effect is not ideal in some complex cases
[0008] Second, the extraction results based on the saliency method still lack certain integrity and accuracy due to the characteristics of the concept of visual saliency.

Method used

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  • Image interested object automatic retrieving method and system based on complementary significant degree image
  • Image interested object automatic retrieving method and system based on complementary significant degree image
  • Image interested object automatic retrieving method and system based on complementary significant degree image

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Embodiment Construction

[0033] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] The invention decomposes the traditional object extraction process into two sub-processes, and the sub-processes use different strategies to generate two complementary saliency maps and thereby obtain two complementary rough extraction results. One of these two results has a higher recall rate and the other has a higher accuracy rate. Then, according to the rough extraction results, a simple pixel classification method is adopted to finally extract a complete and accurate object of interest. In this way, under the condition that human visual perception is better simulated, the present invention effectively solves the problems of the integrity and accuracy of the extraction results that are ubiquitous in the method of extrac...

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Abstract

The invention discloses image interested object automatic retrieving method and system based on a complementary significant degree image. The method comprises the steps of: generating two complementary significant degree images for the same image to obtain two complementary crude retrieving results; taking the complementary crude retrieving results as priori knowledge, and retrieving the interested objects by adopting a pixel classification method; and optimizing the interested objects. In the invention, the interested object in the image is retrieved automatically and accurately under the condition of simulating human visual perception by giving any image, and the problem of the integrity of results based on the significant degree method is efficiently solved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and system for automatically extracting an object of interest in an image based on a complementary saliency map. Background technique [0002] The number of digital images has grown geometrically in recent years. In these images, the really meaningful content usually occupies only a small part. These valuable content, which are often expressed in the form of objects of interest in images, are sufficient to represent the semantics of the entire image in most cases, so objects of interest play a very critical role in many image applications (such as content-based image retrieval). effect. [0003] Existing patents and papers try to achieve the purpose of automatically extracting objects of interest from images through various methods. The US patent "Adaptive segmentation of anatomic regions in medical images with fuzzy clustering" (Adaptive segmentation of anatomic regio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00
Inventor 田永鸿余昊男李甲黄铁军
Owner PEKING UNIV
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