Garment image retrieval method based on segmentation and feature matching

A feature matching and image retrieval technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of cumbersome manual labeling, low accuracy of clothing retrieval, and unsatisfactory retrieval accuracy, and achieve easy extraction , high accuracy effect

Inactive Publication Date: 2016-10-12
KUNMING UNIV OF SCI & TECH
View PDF3 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, manual labeling is cumbersome, and the accuracy of style feature extraction is not high, resulting in lo

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
  • Garment image retrieval method based on segmentation and feature matching
  • Garment image retrieval method based on segmentation and feature matching
  • Garment image retrieval method based on segmentation and feature matching

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0026] Example 1: Such as Figure 1-8 As shown, a clothing image retrieval method based on segmentation and feature matching. First, input the clothing image to be inspected, and realize the segmentation of the clothing image by extracting the HOG feature information of the clothing image to be inspected and a small image library for auxiliary segmentation; secondly, Based on the segmented clothing area of ​​the image to be inspected, extract its color features and Bundled features to realize the feature extraction of the clothing to be inspected; then, according to the clothing features of the image to be inspected, and the features obtained by preprocessing of the large image library for retrieval Library, calculate the similarity of features between the image to be inspected and the large image library, and perform feature matching; finally, search for clothing images similar to the image to be inspected in the large image library according to the feature matching results, and...

Example Embodiment

[0035] Example 2: Such as Figure 1-8 As shown, a clothing image retrieval method based on segmentation and feature matching. Firstly, input the clothing image to be inspected, and realize the segmentation of the clothing image by extracting the HOG feature information of the clothing image to be inspected and a small image library for auxiliary segmentation; secondly, Based on the segmented clothing area of ​​the image to be inspected, extract its color features and Bundled features to realize the feature extraction of the clothing to be inspected; then, according to the clothing features of the image to be inspected, and the features obtained by preprocessing of the large image library for retrieval Library, calculate the similarity of features between the image to be inspected and the large image library, and perform feature matching; finally, search for clothing images similar to the image to be inspected in the large image library according to the feature matching results, a...

Example Embodiment

[0036] Example 3: Such as Figure 1-8 As shown, a clothing image retrieval method based on segmentation and feature matching. Firstly, input the clothing image to be inspected, and realize the segmentation of the clothing image by extracting the HOG feature information of the clothing image to be inspected and a small image library for auxiliary segmentation; secondly, Based on the segmented clothing area of ​​the image to be inspected, extract its color features and Bundled features to realize the feature extraction of the clothing to be inspected; then, according to the clothing features of the image to be inspected, and the features obtained by preprocessing of the large image library for retrieval Library, calculate the similarity of features between the image to be inspected and the large image library, and perform feature matching; finally, search for clothing images similar to the image to be inspected in the large image library according to the feature matching results, a...

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 relates to a garment image retrieval method based on segmentation and feature matching, and belongs to the field of computer vision and image application. The method comprises the steps that firstly, a garment image to be detected is input, and the garment image is segmented by extracting HOG feature information of the garment image to be detected and HOG feature information of a small image library for assisting in segmentation; secondly, the color feature and Bundled feature of the garment area of the segmented image to be detected are extracted, and feature extraction of a garment to be detected is achieved; thirdly, the feature similarity between the image to be detected and a large image library is calculated according to the garment feature of the image to be detected and a feature library obtained by preprocessing the large image library for retrieval, and feature matching is carried out; finally, the large image library is searched for garment images similar to the image to be detected according to the feature matching result, and search results are output according to the similarity sequence. The retrieval method has high accuracy.

Description

technical field [0001] The invention relates to a clothing image retrieval method based on segmentation and feature matching, which belongs to the field of computer vision and image application. Background technique [0002] With the development of Internet +, online stores have become the first choice for most people to consume. Among them, clothing online stores account for a large proportion of the major online sales platforms. The diverse choices and price advantages brought by the huge network resources make many female netizens prefer to browse and buy clothing online rather than shopping. With the development of fashion, there are more and more styles of clothing, and the text-based clothing retrieval can no longer meet the needs of consumers, so the technology of searching for pictures by pictures has emerged. Users hope that only by inputting clothing pictures, the network platform can output a series of ideal clothing picture sequences, which is convenient and ac...

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): G06F17/30
CPCG06F16/5854G06F16/5838G06F16/5866
Inventor 黄冬艳刘骊付晓东黄青松刘利军
Owner KUNMING UNIV OF SCI & TECH
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