纺织学报 ›› 2017, Vol. 38 ›› Issue (11): 162-167.doi: 10.13475/j.fzxb.20160901506

• 管理与信息化 • 上一篇    下一篇

采用纹理平滑的印花织物图案轮廓提取

  

  • 收稿日期:2016-09-12 修回日期:2017-08-15 出版日期:2017-11-15 发布日期:2017-11-15

Graphic contour extraction for printed fabric based on Ttxture smoothing

  • Received:2016-09-12 Revised:2017-08-15 Online:2017-11-15 Published:2017-11-15

摘要:

为丰富印花产品的种类,提出了一种可有效提取出印花织物中图案轮廓的方法,可提取出高精度的印花图案边缘轮廓。首先对图像进行平滑,通过控制平滑程度参数和空间尺度参数,平滑掉织物图像中的纹理结构。再用Canny边缘检测算子检测图案边缘,Canny分割的判别阈值采用默认自动选择阈值就能成功提取织物上图案的轮廓,分割后的图像轮廓清晰,边缘连续,并且能分割出印花织物图像中的细小结构。通过实验证明,在RGB颜色空间对图像平滑和边缘提取的效果要优于其他颜色空间,比较了其他边缘检测算子分割印花织物图案的效果,结果证明Canny算子分割效果最好。

关键词: 印花织物, 图像平滑, 边缘提取, 图案分割, Canny算子

Abstract:

In order to enrich printed products varieties, a method was put forward to effectively extract the contours of the printed fabric with high precision. Firstly, in order to smooth the image, by controlling the degree of smooth parameters and space scale, can eat off the fabric texture and structure of the image. Edge detection pattern with a Canny edge detection operator, Canny discriminant threshold segmentation of the default automatic threshold choice, can successfully segment the pattern on the fabric, after segmentation of image contour clear, continuous, edge and can segment the small structure in the images of the printed fabric. Experiments prove that in RGB color space of image smoothing and segmentation effect is superior to other color space, compared to other edge detection operator splitting pattern effect of printing fabrics, the results prove that Canny operator segmentation effect is best, segmentation results can be directly used in the production of printed fabric.

Key words: printed fabric, image smoothing, edge extraction, pattern segmentation, Canny operator

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