Automatic color matching method for clothing based on natural image color

A natural image and color technology, applied in the field of clothing production, can solve problems such as unstructured and directly oriented to clothing design, and achieve the effects of intuitive and visual results, wide application range, and reduced restrictions

Active Publication Date: 2018-11-20
ZHEJIANG UNIVERSITY OF MEDIA AND COMMUNICATIONS
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods have not constructed a method directly oriented to clothing design, which can directly transform the color of natural patterns into the color scheme of clothing products.

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
  • Automatic color matching method for clothing based on natural image color
  • Automatic color matching method for clothing based on natural image color
  • Automatic color matching method for clothing based on natural image color

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0045] Choose a natural scenery picture with color and a men's jacket style picture without color, extract three colors from the natural scenery picture, and use the colors for men's jackets.

[0046] Step 1: Take "three-color color matching" as an example, input natural scenery image, define K=3, and get three main colors. Proceed as follows:

[0047] 1. Select the style map of men's jackets ( figure 1 ), the number of colors used in the selected color usage plan is 3, and different color usage areas are marked with different gray levels;

[0048] 2. Choose pictures with natural colors ( figure 2 ), convert the picture from the RGB color space to the Lab color space, cluster the colors into three categories through the K-mean clustering algorithm, thus divide the picture into three regions, select the RGB value of each cluster center, and get Three theme colors, and assign colors to pixels belonging to the same category, thereby reducing the image color to 3 ( image 3 );

[0049]...

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 an automatic color matching method for clothing based on a natural image color. The method comprises the following steps: selecting a garment design style drawing without color, marking different color matching areas with different grayscales and determining the number of colors in the color scheme; selecting an image with natural colors and reducing the number of colors of the image through the K-mean clustering method and finally generating the image with reduced colors; and finally completing automatic color matching of clothing according to the area proportion of the colors with combination of different color matching areas. The color of the image can be automatically obtained according to the selected natural scenery image and the color scheme can be applied to the clothing design sketch so as to realize automatic color matching.

Description

Technical field [0001] The invention relates to the field of clothing production, in particular to a clothing automatic color matching method based on natural image colors. Background technique [0002] In the development process of clothing products, designers need to extract the theme colors according to the selected source of inspiration and apply them to clothing products. Color combinations from nature have become a constant source of inspiration for designers in product design. Natural patterns, animal and insect patterns, and fabric patterns are widely used. At the current level of technology, after obtaining natural images, designers often need to load the pictures with photoshop software, extract colors from the pictures manually, and estimate the color ratio according to the visual senses to determine the color Apply the scheme, and match the colors of the clothing according to the color theme. This process not only consumes a lot of time, but is also greatly affected...

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): G06T7/90
CPCG06T2207/10024G06T7/90
Inventor 孙洁褚国娟杨婷婷史一航常心怡
Owner ZHEJIANG UNIVERSITY OF MEDIA AND COMMUNICATIONS
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