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Clothes pattern identification method based on contour curvature feature points and support vector machine

A technology of support vector machine and contour curvature, applied in character and pattern recognition, computer parts, instruments, etc., can solve problems such as inability to correspond to shape features, and achieve good classification effect and good robustness.

Active Publication Date: 2017-02-08
DONGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology allows us to accurately identify different types of clothes from their original size without having them changed or damaged during fabrication process. It uses various techniques like histogram analysis, edge detection, curve fitting, etc., but with these methods alone they cannot produce results that are consistently reliable across multiple samples.

Problems solved by technology

This patented technical problem addressed in this patents relates to finding an effective way to search through large amounts of clingings stored at internet shops without manually labeling or analyzing clothes' patterns. Current methods require extensive effort due to lack of visual appeal and understanding of complex relationships between different types of cladding designs.

Method used

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  • Clothes pattern identification method based on contour curvature feature points and support vector machine
  • Clothes pattern identification method based on contour curvature feature points and support vector machine
  • Clothes pattern identification method based on contour curvature feature points and support vector machine

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Embodiment Construction

[0052] The present invention will be further described below in combination with specific embodiments. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0053] Clothing style recognition method based on contour curvature feature points and SVM (Support Vector Machine) figure 1 As shown, firstly through the original picture of the clothing (as attached figure 2 Shown) preprocessing to obtain the clothing contour map (as attached image 3 shown), then extract the contour curvature feature points of the clothing contour as a feature vector, and finally identify the cloth...

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
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Abstract

The present invention relates to a clothes pattern identification method based on the contour curvature feature points and a support vector machine. The method comprises: obtaining clothes contour through preprocessing of the clothes image, extracting the contour curvature feature points of the clothes contour as feature vectors, and identifying the clothes patterns based on the support vector machine. The preprocessing of the clothes image comprises clothes image segment, edge detection, declination correction and the contour curve smoothing; the extracted contour curvature feature points taken as the feature vectors is that the set of big parts is extracted from the clothes contour curve to represent the main features of the contour shape and perform arrangement according to a certain sequence to form feature vectors; the clothes pattern identification based on the support vector machine is that the support vector machine classification method is employed to classify the clothes patterns. The clothes pattern identification method can allow the accuracy of the identification of the clothes patterns to reach up to more than 86%, and the identification of each sample is short in time consumption and is rapid and accurate.

Description

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
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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
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Application Information

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Owner DONGHUA UNIV
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