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

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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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.

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