Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Fabric image recoloring method and system

A fabric and image technology, applied in the textile field, can solve the problems that the texture details and edge areas of fabric patterns cannot be well preserved, and the coloring results are prone to small areas of different colors, etc.

Pending Publication Date: 2022-02-18
ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing technology mainly has the following shortcomings: the texture details and edge regions (image structure) of the fabric pattern cannot be well preserved; when the target color is constantly changing, the coloring result is prone to small regions of different colors

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
  • Fabric image recoloring method and system
  • Fabric image recoloring method and system
  • Fabric image recoloring method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0015] A fabric image recoloring method specifically comprises the following steps:

[0016] Step 1, segment the fabric pattern foreground and background images. Using color feature coding algorithm, edge structure image extraction algorithm and multi-region fuzzy competition image segmentation model to segment the foreground and background of the fabric pattern; specifically include:

[0017] Step 1.1, encode color features;

[0018] First, the fabric image is processed using the color feature coding algorithm based on Log-Euclidean metrics:

[0019]

[0020] In the formula, I is the fabric image, c={r, g, b} represents the RGB color value of the pixel, (x, y) represents the pixel coordinate value, g x -g y represents the pixel g x and g y The gray value difference between, δ x,y is the pixel g x and g y The color contrast differe...

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 fabric image recoloring method, wherein the method comprises the steps: step 1, segmenting a foreground image and a background image of a fabric pattern, and segmenting the foreground and the background of the fabric pattern by using a color feature coding algorithm, an edge structure image extraction algorithm and a multi-region fuzzy competition image segmentation model; step 2, coloring the background image of the fabric pattern, and coloring the background of the fabric pattern by adopting a coloring algorithm based on a grayscale image; and step 3, coloring the foreground image of the fabric pattern, for the foreground of the fabric pattern, reconstructing the foreground of the fabric by adopting a color offset field model based on intrinsic image decomposition, obtaining a color center vector and a color offset field of the foreground pattern of the fabric, and for the reconstructed foreground image, replacing the original color center vector of the foreground pattern with a given new color center vector, and reconstructing a new fabric pattern by using a color offset field. The invention further comprises a fabric image recoloring system.

Description

technical field [0001] The invention belongs to the technical field of textiles, and in particular relates to a fabric image recoloring method and system. Background technique [0002] The color of the fabric pattern has an important influence on the style of the fabric. Therefore, fabric patterns are often recolored with different colors in textile fabric design. Color transfer technology provides a new method for fabric image recoloring. The existing technology mainly has the following shortcomings: the texture details and edge regions (image structure) of the fabric pattern cannot be well preserved; when the target color is constantly changing, the coloring result is prone to small regions of different colors. Contents of the invention [0003] The present invention aims to solve the above-mentioned deficiencies of the prior art, and provides a new method capable of high-quality coloring of fabric patterns. [0004] A kind of fabric image recoloring method of the pre...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00G06T11/40G06T7/11G06T7/194
CPCG06T11/001G06T11/40G06T7/11G06T7/194G06T2207/30124Y02P90/30
Inventor 郑德均
Owner ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
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
Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com