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An automatic color matching method for clothing based on natural image colors

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, reduced restrictions, and a wide range of applications

Active Publication Date: 2021-06-18
ZHEJIANG UNIVERSITY OF MEDIA AND COMMUNICATIONS
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  • 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

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  • An automatic color matching method for clothing based on natural image colors
  • An automatic color matching method for clothing based on natural image colors
  • An automatic color matching method for clothing based on natural image colors

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

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

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

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

[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, thereby divide the picture into three regions, select the RGB value of each cluster center, and get Three theme colors, and assign color values ​​to pixels belonging to the same category, thereby reducing the color...

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Abstract

The invention relates to an automatic color matching method for clothing based on natural image colors, comprising the following steps: selecting a clothing design pattern without color, marking different color matching areas with different gray scales, and determining the number of colors in the color scheme; For pictures with natural colors, use the K-mean clustering method to reduce the number of colors in the picture, and finally generate a picture with reduced colors; finally, according to the area ratio of the color and combined with different color matching areas, the clothing is automatically matched. The present invention can automatically acquire the color of the picture according to the selected natural scenery picture, and apply the color scheme to the clothing design sketch to realize automatic color matching.

Description

technical field [0001] The invention relates to the field of clothing production, in particular to an automatic color matching method for clothing based on natural image colors. Background technique [0002] In the development process of clothing products, designers need to extract the theme color according to the selected source of inspiration, and apply it to clothing products. The combination of colors from nature has become a continuous source of inspiration for designers in product design, among which natural patterns, animal and insect patterns, and fabric pattern colors are widely used. At the current level of technology, after obtaining a natural image, the designer often needs to load the image with the help of photoshop software, extract the color from the image manually, and estimate the color ratio according to the visual sense to determine the color balance. Apply schemes and color-code garments according to color themes. This process not only consumes a lot o...

Claims

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Application Information

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Patent Type & Authority Patents(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
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