The national costume pattern elements segmentation by incorporating morphology connected component and CV model

• Published in: Zhejiang da xue xue bao. Journal of Zhejiang University. Sciences edition. Li xue ban Vol. 46; no. 3; pp. 288 - 294
• Main Authors: Hou, Xiaogang, Chen, Hong, Zhao, Haiying
• Format: Journal Article
• Language: Chinese
• Published: Hangzhou Zhejiang University 01.05.2019; Zhejiang University Press
• Subjects: Construction costs; Construction materials; Costumes; Image segmentation; Labeling; Model accuracy; Morphology; 图案纹样元素; 形态学连通域和cv 模型（mcc-cv）; 民族服饰; 自动分割
• ISSN: 1008-9497
• DOI: 10.3785/j.issn.1008-9497.2019.03.004

A automatic segmentation of national costume patterns to extract the pattern elements is an urgent problem to be solved in the construction of the national costume pattern material library. In this paper, we propose an automatic segmentation method by incorporating morphology connected component labeling and CV model (MCC-CV). Firstly, we carry out the image preprocessing on national dress patterns. Then，the location of the target pattern is obtained by using the morphology connected component labeling ,which serves as the initial contour of the CV model. Finally, the automatic segmentation of national costume pattern elements is realized by detecting the edge of the pattern gene using the CV model. Experimental results show that the accuracy of MCC-CV model is 60% under the premise boundary recall 0.5, which satisfies the basic requirements for the national costume pattern material library construction.