Texture image retrieval method and device

A texture image and image technology, which is applied in the field of texture image retrieval methods and devices, can solve the problems of pulse-coupled neural network model illumination sensitivity, etc., and achieve the effect of overcoming illumination sensitivity and realizing image retrieval

Inactive Publication Date: 2014-02-26
CHINA THREE GORGES UNIV
View PDF2 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem of illumination sensitivity of the pulse-coupled neural network

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Texture image retrieval method and device
  • Texture image retrieval method and device
  • Texture image retrieval method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0041] figure 1 is a flowchart of a texture image retrieval method provided in an embodiment of the present invention, see figure 1 , the method includes:

[0042] 101: Process the input texture image according to the rotation invariant local binary pattern algorithm, and acquire the structural pattern image of the input texture image;

[0043] Among them, the input texture images are all single-channel grayscale images. For multi-channel images, such as RGB, CMY, YIQ, etc., it is necessary to convert the multi-channel image into a single-channel grayscale image, or convert each of the multi-channel images channel image alone as the input texture image.

[0044] Among them, the basic principle of the rotation-invariant local binary ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a texture image retrieval method and a texture image retrieval device and belongs to the field of digital image processing. The method comprises the following steps: processing an input texture image according to a rotation invariant local binary pattern algorithm, so as to acquire a structural pattern image of the input texture image; performing feature extraction on the structural pattern image of the input texture image according to a pulse coupling neural network model, so as to obtain a structural feature sequence of the input texture image; acquiring the retrieved texture image according to the structural feature sequence of the input texture image and a structural feature sequence of each image in a texture image database. The feature extraction is performed by using the structural pattern image, the photoperiod sensitivity is effectively overcome, the extracted structural feature sequence has characteristics of illumination, transition, rotation, zoom and affine invariant, and thus image retrieval is well realized.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to a texture image retrieval method and device. Background technique [0002] With the rapid development of computer network technology, various texture image databases are growing rapidly. How to quickly and effectively obtain the required images from these texture image databases is an important research topic in the field of texture image retrieval. [0003] In the prior art, the pulse-coupled neural network model is used to extract the image features of the retrieved texture image, and the similarity measurement is performed between the extracted image features and the image features of the image in the texture image database, and the same texture image is obtained to realize the texture image. search. [0004] In the process of realizing the present invention, the inventor finds that there are at least the following problems in the prior art: [0005] In the prior art,...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/30G06K9/46
CPCG06F16/5862
Inventor 徐光柱雷帮军李春林
Owner CHINA THREE GORGES UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap