Abstract
In order to improve the visual communication ability of traditional national costume patterns, it is necessary to carry out image texture intelligent matching processing. A traditional national costume embroidery feature recognition algorithm based on a double-layer model is proposed. The traditional national costume pattern texture intelligent information acquisition model under the double-layer model is constructed to carry out texture imaging and feature segmentation of traditional national costume patterns, extract the texture histogram of traditional national clothing pattern and national design language, carry out texture segmentation and automatic matching under the two-layer model according to the histogram distribution, enhance and optimize the texture information of traditional national clothing pattern, extract the edge contour feature points of traditional national clothing pattern, and complete the embroidery feature recognition of traditional national clothing. The experimental results show that the designed recognition algorithm has high integrity and accuracy.
Highlights
Hu JuanReceived 6 September 2021; Revised 17 October 2021; Accepted 28 October 2021; Published 12 November 2021
With the development of modern traditional national costume design technology, the embroidery design of the traditional national costume is carried out under the computer vision environment. e composition and color of the traditional national costume are designed by using the creative idea of modern traditional national costume embroidery design so as to improve the color expression ability of traditional national costume and promote the balance, harmony, and unity of traditional national costume [1]
Traditional national costume design through visual communication makes the form of traditional national costume embroidery more in line with human visual experience and improves the aesthetic value of traditional national costume. e research on the visual communication optimization design technology of traditional national costume is based on the intelligent texture matching of traditional national costume embroidery [2, 3]; the double-layer model is used for the optimal design of traditional national clothing and the intelligent matching of pattern texture, so as to realize the perfect combination of pattern texture and traditional national clothing. e research on the embroidery feature recognition algorithm of traditional national clothing is of great significance in optimizing the embroidery design of clothing
Summary
Received 6 September 2021; Revised 17 October 2021; Accepted 28 October 2021; Published 12 November 2021. In order to improve the visual communication ability of traditional national costume patterns, it is necessary to carry out image texture intelligent matching processing. A traditional national costume embroidery feature recognition algorithm based on a double-layer model is proposed. E traditional national costume pattern texture intelligent information acquisition model under the double-layer model is constructed to carry out texture imaging and feature segmentation of traditional national costume patterns, extract the texture histogram of traditional national clothing pattern and national design language, carry out texture segmentation and automatic matching under the two-layer model according to the histogram distribution, enhance and optimize the texture information of traditional national clothing pattern, extract the edge contour feature points of traditional national clothing pattern, and complete the embroidery feature recognition of traditional national clothing. A traditional national costume embroidery feature recognition algorithm based on a double-layer model is proposed. e traditional national costume pattern texture intelligent information acquisition model under the double-layer model is constructed to carry out texture imaging and feature segmentation of traditional national costume patterns, extract the texture histogram of traditional national clothing pattern and national design language, carry out texture segmentation and automatic matching under the two-layer model according to the histogram distribution, enhance and optimize the texture information of traditional national clothing pattern, extract the edge contour feature points of traditional national clothing pattern, and complete the embroidery feature recognition of traditional national clothing. e experimental results show that the designed recognition algorithm has high integrity and accuracy
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