Research on textile pattern extraction algorithm based on image segmentation
Image segmentation,as the key to image processing technology,plays a vital role in textile pattern extraction.In order to effectively help relevant scholars quickly select appropriate segmentation methods according to the characteristics of textile images,the segmentation preprocessing algorithms are enumerated,including noise and texture smoothing methods for textile images.Secondly,the different types of segmentation algorithms are sorted out and summarized,the common segmentation algorithms and their advantages and disadvantages are summarized,and the applications of some optimization segmentation algorithms are listed.Finally,focusing on the application of fusion segmentation algorithm in textile pattern extraction,the optimization ideas of segmentation algorithm and the principle of fusion method for textile pattern extraction are summarized.It is believed that the improvement of traditional algorithms or the fusion of multiple algorithms can effectively improve the accuracy and efficiency of textile pattern extraction.
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