Image retrieval algorithm based on abrupt change of information

An image retrieval and algorithm technology, which is applied in the field of image retrieval algorithms based on information mutation, can solve the problems of easily destroying the internal semantic correlation of images, and the segmentation method is too simple, so as to achieve the effect of improving the precision rate and good retrieval effect

Inactive Publication Date: 2007-02-21
BEIJING UNIV OF TECH
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Problems solved by technology

Although this approach takes into account the spatial position information of the image, its segme

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  • Image retrieval algorithm based on abrupt change of information
  • Image retrieval algorithm based on abrupt change of information
  • Image retrieval algorithm based on abrupt change of information

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Embodiment Construction

[0075] In actual use, the user first uploads a sample image sample (see Figure 6 ).

[0076] In the specific implementation, the following procedures are completed in the computer:

[0077] Step 1: Read in the sample image uploaded by the user.

[0078] The second step: convert the color data of the original image from RBG space to HSV space, and extract the L component from it as the pixel color value.

[0079] Step 3: Carry out horizontal segmentation of the maximum line spacing on the image respectively (see Figure 7 (a)), the minimum line spacing horizontal division (see Figure 7 (b)), maximum column spacing vertical division (see Figure 7 (c)) and the minimum column spacing vertical division (see Figure 7 (d)).

[0080] Step 4: According to the initial segmentation results (see Figure 8 (a) Merge images in the vertical and horizontal directions until the image is divided into 3×3 regions (see Figure 8 (b)).

[0081] Step 5: The user selects a certain area ...

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Abstract

An image index algorithm based on information abrupt includes converting color data of sample image inputted by user from GRB space to be HSV space and making normalized treatment on it then carrying out initial division on image according to pixel correlation degree and information abrupt, carrying out circulating combination as per similarities of divided pixel blocks, dividing image to be 3x3 subblock and extracting out feature vectors of nine regions separately, selecting interested region from nine regions by user and comparing it with image to be indexed on their proceed similarities to obtain index result of proceed image.

Description

technical field [0001] The invention relates to the field of image retrieval, and designs and implements an image retrieval algorithm based on information mutation. Background technique [0002] With the surge of large-scale image data on the Internet, traditional text search engines are far from meeting the needs of people's information retrieval. Content-based retrieval technology has gradually become a new research hotspot in the fields of multimedia information retrieval, artificial intelligence, and databases. . [0003] Content-based image retrieval methods involve two key technologies: image feature extraction, representation, and the setting of similarity measurement criteria in retrieval algorithms. At present, content-based image feature extraction and representation mostly start from the underlying features of the image such as color, shape, and texture, and use color histograms, co-occurrence matrices, and shape invariant moments to describe and store images, bu...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06T7/00
Inventor 贾克斌王妍刘鹏宇
Owner BEIJING UNIV OF TECH
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