纺织学报 ›› 2014, Vol. 35 ›› Issue (1): 127-0.

• 管理与信息化 • 上一篇    下一篇

基于小波域多尺度Markov随机场的织物印花图案分割

景军锋,李阳,李鹏飞,焦洋   

  1. 西安工程大学电子信息学院
  • 收稿日期:2012-11-19 修回日期:2013-07-21 出版日期:2014-01-15 发布日期:2014-01-15
  • 通讯作者: 景军锋 E-mail:jingjunfeng0718@QQ.COM
  • 基金资助:

    国家自然科学基金资助项目;陕西省教育厅自然专项项目;陕西省教育厅科研计划项目;陕西省科技厅项目

Textile printing pattern image segmentation based on multiscale Markov random field model in wavelet domain

  • Received:2012-11-19 Revised:2013-07-21 Online:2014-01-15 Published:2014-01-15
  • Contact: Feng JunJING E-mail:jingjunfeng0718@QQ.COM

摘要: 织物印花图案的分割是纺织印染工艺中一个非常重要的过程,为了提高纺织印花图案的分色精度,本文采用小波域的多尺度Markov随机场模型实现了织物印花图案的分割。该方法首先对图像进行预处理,然后对图像进行小波“金字塔”分解,在每一尺度的分割过程中利用了各尺度上的有关信息:特征场建模通过描述小波系数之间的相关性反映每一像素位置的特征属性,标记场建模通过考虑邻域标记间的相互作用反映图像分割的区域性。两种随机场建模以联合概率乘积的形式相互约束,共同作用于该尺度的分割过程。在分割过程中,从最低分辨率尺度到原始分辨率尺度逐次进行图像分割,低分辨率尺度的分割结果通过直接投影作为相邻的更高分辨率尺度的初始分割,最高分辨率尺度上的分割结果作为本文方法的分割结果。

关键词: 小波域, 多尺度MRF, 特征场, 标记场, 小波金字塔

Abstract: Textile printing pattern image segmentation is a very important process in textile printing and dyeing process, in order to improve the accuracy, this paper adopts MRMRF algorithm realized texture segmentation. At first a preceding process is taken in this algorithm. Then , the image is decomposed by wavelet pyramids. In the algorithm, the segmentation on each scale can make full use of information on all scales. the relationship among each wavelet coefficient can reflect the feature of each pixel location, and the interaction of neighborhoods can reflect the regional of image segmentation. Both of these two fields constraint each other by product of joint probability, and act on the segmentation process together. The image segmentation procedure is sequentially executed from the coarsest resolution scale to the finest resolution scale, and segmentation result of the coarser scale is directly projected on the nearest finer resolution scale as its initial segmentation. The segmentation result on the finest resolution is used as the final result of the algorithm.

Key words: wavelet domain, multiscale Markov random field, feature field, label field, wavelet , pyramid

中图分类号: 

  • TP 391
[1] 管声启 何建新 王杰 李文森 雷鸣 . 应用小波域高斯差分滤波的起球疵点客观评价[J]. 纺织学报, 2017, 38(09): 155-161.
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