面向线束端子显微图像分割的变指数色度滤波

芦碧波; 扈天卿; 刘甜甜

doi:10.3788/OPE.20192708.1894

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面向线束端子显微图像分割的变指数色度滤波

信息科学 | 更新时间：2020-08-13

- 面向线束端子显微图像分割的变指数色度滤波
- Variable exponential chromaticity filtering for microscopic image segmentation of wire harness terminals
- 光学精密工程 2019年27卷第8期页码：1894-1900
- 作者机构：
  
  1.河南理工大学计算机科学与技术学院，河南焦作 454000
  2.广东省数据科学工程技术研究中心，广东广州 510631
- 作者简介：
  
  [ "芦碧波(1978-)，男，河南焦作人，博士研究生，副教授，2005年、2008年于吉林大学分别获得硕士、博士学位，主要从事色调映射、图像去噪、图像分割、图像融合方面的研究。E-mail：lubibojz@gmail.com" ]
  [ "扈天卿(1995-)，女，河南焦作人，硕士研究生，2018年于河南师范大学获得学士学位，主要从事图像分割方面的研究。E-mail：hutianqing1995@126.com" ]
- 基金信息：
  
  国家自然科学基金资助项目(U1404103);2016年度河南省高等学校重点科研项目资助计划(16A520053);河南理工大学博士基金项目(B2016-40)
- DOI：10.3788/OPE.20192708.1894
  中图分类号： TP391.4
- 收稿日期：2018-12-18，
  
  录用日期：2019-2-2，
  
  纸质出版日期：2019-08-15
- 稿件说明：
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芦碧波, 扈天卿, 刘甜甜. 面向线束端子显微图像分割的变指数色度滤波[J]. 光学精密工程, 2019,27(8):1894-1900.

Bi-bo LU, Tian-qing HU, Tian-tian LIU. Variable exponential chromaticity filtering for microscopic image segmentation of wire harness terminals[J]. Optics and precision engineering, 2019, 27(8): 1894-1900.
芦碧波, 扈天卿, 刘甜甜. 面向线束端子显微图像分割的变指数色度滤波[J]. 光学精密工程, 2019,27(8):1894-1900. DOI： 10.3788/OPE.20192708.1894.

Bi-bo LU, Tian-qing HU, Tian-tian LIU. Variable exponential chromaticity filtering for microscopic image segmentation of wire harness terminals[J]. Optics and precision engineering, 2019, 27(8): 1894-1900. DOI： 10.3788/OPE.20192708.1894.

摘要

为准确检测线束端子显微图像的内径轮廓以进行后续的数据分析，在色度亮度空间中提出一种基于变指数滤波的显微图像分割算法。首先，根据彩色线束端子显微图像颜色分布的特点，将红绿蓝颜色空间中的彩色图像转换到色度亮度空间中，消除光照影响并分离亮度和色度信息，并将色度信息转换到色度球体上；然后在全变分模型的基础上，构造了一种色度球体上的变指数变分模型对色度信息进行滤波，其中变指数函数具有结构自适应性质；接着通过分析单色通道的边缘检测结果，选择在图像的红色通道中使用Canny算法进行边缘检测；去除虚假的不连续边界曲线后，得到最终的内径轮廓。实验结果显示，本方法所得端子内径轮廓周长与手工测量相比，偏差小于0.5%。本文算法得到的线束端子内径轮廓、周长等数据准确。

Abstract

To accurately determine the inner diameter contour of a microscopic image of a harness terminal for subsequent data analysis

a microscopic image segmentation algorithm based on variable exponential filtering is proposed in a chromaticity-brightness space. First

based on the color distribution characteristics of the microscopic image of a color wire harness terminal

color images in the red

green

and blue color space are converted to the chroma brightness space. In addition

lighting effects and separate luminance and chrominance information are eliminated

and chrominance information is converted to chroma spheres. Next

based on the total variation model

a variable exponential variational model on a chromaticity sphere is constructed to filter the chrominance information

where the variable exponential function is shown to have structural adaptive properties. Then

following analysis of the edge detection result of the monochrome channel

the Canny algorithm is used to perform edge detection in the red channel of the image. After the false discontinuous boundary curve is removed

the final inner diameter contour is obtained. Experimental results show that the circumference of the inner diameter of the terminal obtained by this method is compared with the manual measurement

and the deviation is less than 0.5%. The data regarding the inner diameter contour and circumference of the terminal obtained by the algorithm are also shown to be accurate.

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references

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