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A Color Feature Extraction Method of Cloth Image

An extraction method and color feature technology, applied in the field of cloth image color feature extraction, can solve the problems that cannot effectively meet the needs of actual image retrieval, achieve good gray quantification work, and improve accuracy

Active Publication Date: 2017-09-19
广州盖特软件有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to propose a method for extracting color features of a cloth image, which can solve the problem that it cannot effectively meet the needs of actual image retrieval

Method used

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  • A Color Feature Extraction Method of Cloth Image
  • A Color Feature Extraction Method of Cloth Image
  • A Color Feature Extraction Method of Cloth Image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] Below, the present invention is further described.

[0034] The specific implementation of this embodiment is carried out under the following conditions:

[0035] A. Test data set: SCC-125 data set (real cloth image data collection with simple color features), the total number of data records is 125×4=500; CCC-125 data set (real cloth image data with complex color features) collection), the total number of records is 125×4=500.

[0036] B. Data preprocessing: The data is not normalized, and the weight factors between each feature are not considered.

[0037] C. Similarity Calculation Formula: The similarity is calculated using the quadratic distance.

[0038]D. Threshold: This test does not consider the threshold information, the main purpose is to detect and compare the color feature representation method proposed by the present invention, that is, the color representation method based on the main color weight histogram (denoted as: MCWH) and other three classic The...

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PUM

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Abstract

The invention relates to a method for extracting color features of a cloth image. This method proposes an improved color space quantization method based on the dominant color clustering method when performing image color quantization classification, which can perform better gray quantization work on the color of each pixel in the image. At the same time, the method of main color weight histogram is used to extract the main color histogram of the image and the color proportion information of each main color, so as to improve the accuracy of cloth image retrieval and efficiently retrieve cloth images that satisfy users.

Description

technical field [0001] The invention relates to image processing technology, in particular to a cloth image color feature extraction method. Background technique [0002] Luggage companies need to purchase raw materials frequently and in large quantities, and many fabric supply stores often need to find various fabrics that meet customer needs from a large number of fabric color cards. Using manual methods to compare the fabric color cards that need to be purchased has problems such as time-consuming, labor-intensive, and error-prone. It is easy to cause the raw materials actually needed by the enterprise to be inconsistent with the purchased raw materials, and normal production cannot be carried out, which seriously affects the enterprise. Production efficiency and economic benefits. Simultaneously, also bring a lot of inconveniences to cloth supply store. Therefore, enterprise purchasers and fabric supply stores urgently need a computer application system for convenient ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/62G06F17/30
CPCG06V10/56
Inventor 蔡征兵邱桃荣林美波黄海泉刘萍蔡志芳
Owner 广州盖特软件有限公司
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