Image retrieval method and system based on image segmentation and fuzzy pattern recognition

A technology of fuzzy pattern recognition and image segmentation, which is applied in still image data retrieval, image analysis, image data processing, etc., can solve the problems that the ABIR method cannot be applied to large data retrieval, strong subjectivity, time-consuming manual labeling, etc., and achieves improved Adaptability, improved representation, performance-enhancing effects

Active Publication Date: 2019-01-15
SHANDONG NORMAL UNIV
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Problems solved by technology

[0003] The ABIR method is to use keywords related to the image content to annotate the text of the image. Although better annotation can greatly improve the accuracy of image retrieval, this method has great d

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  • Image retrieval method and system based on image segmentation and fuzzy pattern recognition
  • Image retrieval method and system based on image segmentation and fuzzy pattern recognition
  • Image retrieval method and system based on image segmentation and fuzzy pattern recognition

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[0050] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0051] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0052] In order to further improve the representativeness of image feature vectors, an appropriate image segment...

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Abstract

The invention discloses an image retrieval method and a system based on image segmentation and fuzzy pattern recognition, comprising the following steps: image segmentation: a query image is segmentedinto a plurality of image regions, and each retrieved image is also segmented into a plurality of image regions; feature extraction: extracting comprehensive feature vectors of each image region of the query image; extracting an integrated feature vector for each image region of each retrieved image; obtaining k nearest neighbor images of the query image; obtaining k nearest neighbor images of each retrieved image; for the k nearest neighbor images of the query image and the corresponding k nearest neighbor images of each retrieved image, the similarity of the k nearest neighbor images is calculated, and the similarity of the k nearest neighbor images is weighted and summed to obtain the final similarity between the query images and each retrieved image, and the final similarity is sortedin the order from large to small, and the retrieved images are outputted in the order from large to small.

Description

technical field [0001] The invention relates to an image retrieval method and system based on image segmentation and fuzzy pattern recognition. Background technique [0002] With the rapid development of computer network, multimedia technology and communication technology, digital image data is increasing day by day. How to quickly and accurately query images that people are interested in from massive image data has always been a research hotspot in the field of image retrieval. Generally, image retrieval methods can be divided into two types: annotation-based image retrieval (ABIR) methods and content-based image retrieval (CBIR) methods. [0003] The ABIR method is to use keywords related to the image content to annotate the text of the image. Although better annotation can greatly improve the accuracy of image retrieval, this method has great defects: manual annotation is time-consuming and subjectivity. It is too strong, and the image content is difficult to accurately ...

Claims

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Application Information

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IPC IPC(8): G06F16/53G06F16/583G06T7/11
CPCG06T7/11
Inventor 王春静
Owner SHANDONG NORMAL UNIV
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