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An Adaptive Image Retrieval Method Based on Specific Salient Things

An image retrieval and adaptive technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of low similarity measurement

Inactive Publication Date: 2015-11-25
NORTH CHINA UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Therefore, Sivic and Zisserman used SIFT in google video to realize a content-based video retrieval system; Xu et al. and Li et al. [7, 8] proposed algorithms for using SIFT to retrieve images, etc., but these algorithms have a defect: two The shorter the Euclidean distance of a keypoint, the lower their similarity measure

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  • An Adaptive Image Retrieval Method Based on Specific Salient Things
  • An Adaptive Image Retrieval Method Based on Specific Salient Things
  • An Adaptive Image Retrieval Method Based on Specific Salient Things

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Embodiment Construction

[0086] Various aspects are now described with reference to the figures. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. It may be evident, however, that such aspects can be practiced without these specific details.

[0087] As used in this application, the terms "component", "module", "system" and the like are intended to refer to a computer-related entity such as, but not limited to, hardware, firmware, a combination of hardware and software, software, Or software in execution. For example, a component may be, but is not limited to being limited to, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and / or a computer. For example, both an application running on a computing device and the computing device can be components. One or more components can reside within a process and / or thread of execution ...

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Abstract

The invention provides a self-adapted image searching method based on a specific notable matter. The self-adapted image searching method comprises the following steps of: firstly, extracting color information of an image; carrying out tree-shaped wavelet decomposition on the image; utilizing a suggested algorithm to extract energy distribution of a current each grade of a sub-image and characteristic points of scale invariant, affine invariant and rotary invariant of the sub-image; and then, generating an image comprehensive characteristic descriptor which comprises global information and partial information by a color characteristic vector, an energy normalization vector and a particle cloud similarity vector; and finally, utilizing the generated comprehensive characteristic descriptor to be matched with a comprehensive characteristic descriptor in an image comprehensive library and outputting a search result.

Description

[0001] joint research [0002] This application is jointly researched by North China University of Technology and Information Institute of Beijing Jiaotong University, and supported by the following funds: National Natural Science Foundation of China (No.61103113, No.60903066), Beijing Municipal Higher Education Intensification Program for Talents (PHR201008187); Natural Science Foundation of Jiangsu Province (BK2011455), Natural Science Foundation of Beijing (No.4102049), New Teacher Fund of the Ministry of Education (No.20090009120006); National 973 Program (2012CB316400), Basic Research Fund of Central Universities (No.2011JBM214). technical field [0003] The invention relates to the field of digital image processing, in particular to an adaptive image retrieval method based on specific salient things. Background technique [0004] At present, content-based image retrieval (CBIR) is one of the more interesting directions in the field of image processing. A large number o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 张萌萌白慧慧李泽明
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY