Algorithm for fast TFT-LCD Mura defect image segmentation based on Chan-Vese model

LU Xiao-peng; LI Hui; LIU Yun-Jie; LIANG Ping; LI Kun

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Algorithm for fast TFT-LCD Mura defect image segmentation based on Chan-Vese model

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Algorithm for fast TFT-LCD Mura defect image segmentation based on Chan-Vese model
- Chinese Journal of Liquid Crystals and Displays Vol. 29, Issue 1, Pages: 146-151(2014)
- 作者机构：
  
  1. 电子科技大学航空航天学院,四川成都,611731
  2. 四川出入境检验检疫局机电处,四川成都,610041
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN141.9
- Received：28 August 2013，
  
  Revised：30 September 2013，
  
  Published：15 February 2014
- 稿件说明：
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卢小鹏, 李辉, 刘云杰, 梁平, 李坤. 基于Chan-Vese模型的TFT-LCD Mura缺陷快速分割算法[J]. 液晶与显示, 2014,29(1): 146-151

LU Xiao-peng, LI Hui, LIU Yun-Jie, LIANG Ping, LI Kun. Algorithm for fast TFT-LCD Mura defect image segmentation based on Chan-Vese model[J]. , 2014,29(1): 146-151
卢小鹏, 李辉, 刘云杰, 梁平, 李坤. 基于Chan-Vese模型的TFT-LCD Mura缺陷快速分割算法[J]. 液晶与显示, 2014,29(1): 146-151 DOI：

LU Xiao-peng, LI Hui, LIU Yun-Jie, LIANG Ping, LI Kun. Algorithm for fast TFT-LCD Mura defect image segmentation based on Chan-Vese model[J]. , 2014,29(1): 146-151 DOI：

摘要

针对传统的Chan-Vese模型（C-V模型）分割背景不均匀的TFT-LCD Mura缺陷速度慢的问题，将水平集函数与符号距离函数的偏差作为能量项引入C-V模型，去掉了符号距离函数重初始化步骤；为了平衡图像的整体亮度不均匀，在传统的C-V模型中引入轮廓曲线内、外部区域之间的亮度差项，提高了分割准确性。在数值实现上，采用无条件稳定的半隐差分格式，适当加大步长，加速曲线演化过程，相比于有限差分格式和AOS格式，分割速度明显提高。实验结果表明，本文提出的算法能够准确地分割背景不均匀的Mura缺陷图像，并且分割速度快。

Abstract

Aiming at the issue of low efficiency of traditional Chan-Vese model(C-V model) method for uneven background TFT-LCD Mura defect segmentation

a new formulation which was the difference between the level set function and signed distance function was introduced to C-V model to completely eliminate the re-initialization procedure of signed distance function. In order to reduce the effect from non-uniformity brightness of image

the C-V model was proved by adding the brightness difference between inside and outside area of the contour curve to improve the accuracy of the segmentation. In the numerical implementation

the unconditionally stable semi-implicit scheme was used to accelerate the evolution velocity by increasing the time step appropriately. This semi-implicit scheme has higher segmentation speed than the finite difference scheme and AOS format. The results show that the proposed algorithm can segment the uneven background Mura defect accurately and rapidly.

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references

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LCD Mura defectimage segmentation based on improved Chan-Vese model

Image segmentation based on improved Chan-Vese model

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Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Science

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