Variable exponential chromaticity filtering for microscopic image segmentation of wire harness terminals

Bi-bo LU; Tian-qing HU; Tian-tian LIU

doi:10.3788/OPE.20192708.1894

您当前的位置：

首页 >

文章列表页 >

Variable exponential chromaticity filtering for microscopic image segmentation of wire harness terminals

Information Sciences | 更新时间：2020-08-13

- Variable exponential chromaticity filtering for microscopic image segmentation of wire harness terminals
- Optics and Precision Engineering Vol. 27, Issue 8, Pages: 1894-1900(2019)
- 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：
- 基金信息：
- DOI：10.3788/OPE.20192708.1894
  CLC： TP391.4
- Received：18 December 2018，
  
  Accepted：02 February 2019，
  
  Published：15 August 2019
- 稿件说明：
移动端阅览
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：

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.

关键词

Keywords

references

刘振超, 谷孝卫, 周锋, 等.浅析汽车线束布置设计及原则[J].汽车电器, 2016(2):12-13.

LIU ZH CH, GU X W, ZHOU F, et al .. Designand the principle of automotive wiring harness layout[J]. Auto Electric Parts , 2016(2):12-13. (in Chinese)

李秀娟, 李贝贝, 于心俊.线束端子在线检测系统[J].自动化仪表, 2015, 36(6):65-68.

LI X J, LI B B, YU X J. Online detection system of wire harness terminal[J]. Process Automation Instrumentation , 2015, 36(6):65-68. (in Chinese)

胡建华, 王莹.车用线束端子压接工艺研究[J].汽车零部件, 2010(10):64-67.

HU J H, WANG Y. Research on crimping process of automotive wire harness terminals[J]. Auto Parts , 2010(10): 64-67. (in Chinese)

芦碧波, 刘利群, 郑艳梅, 等.一种线束端子显微图像全自动分割方法[J].光学工程, 2016, 43(10):49-55.

LU B B, LIU L Q, ZHENG Y M, et al .. A automatic segmentation method of wire terminals microscopic image[J]. Opto-ElectronicEngineering , 2016, 43(10):49-55. (in Chinese)

张辰, 杨文柱, 刘召海.基于HSV综合显著性的彩色图像分割方法[J].计算机工程与设计, 2013, 34(11):3944-3947.

ZHANG CH, YANG W ZH, LIU ZH H. Color image segmentation method based on HSV comprehensive saliency[J]. Computer Engineering and Design , 2013, 34(11):3944-3947. (in Chinese)

邢致恺, 贾鹤鸣, 邢国军, 等.基于Lab和YUV颜色空间的污油图像分割研究[J].中国新技术新产品, 2017(23):4-5.

XING ZH K, JIA H M, XING G J, et al .. Research on image segmentation of dirty oil based on Lab and YUV color space[J]. China's new technology and new products , 2017 (23): 4-5. (in Chinese)

王志豪, 汪继文.一种基于CB模型的彩色图像分割方法[J].计算机技术与发展, 2008(5):44-46.

WANG ZH H, WANG J W. A color image segmentation method based on CB model[J]. Computer technology and development , 2008(5):44-46. (in Chinese)

周千, 李文胜.基于CB模型的彩色图像混合噪声去除方法[J].河南科学, 2016, 34(7):1037-1043.

ZHOU Q, LI W SH. Color image mixing noise removal method based on CB model[J]. Henan Science , 2016, 34(7):1037-1043. (in Chinese)

NICOLAS B, BALAZS K, SYLVAIN P, et al .. Intrinsic decompositions for image editing[J]. Computer Graphics Forum , 2017, 36(2).

王健博, 杨航, 吴笑天.结合图像分割的改进导引滤波[J].液晶与显示, 2017, 32(5): 380-386.

WANG J B, YANG H, WU X T. Improved guided filtering combined with image segmentation[J]. Liquid Crystal & Display , 2017, 32(5): 380-386. (in Chinese)

邓仕超, 刘铁根, 萧泽新.应用Canny算法和灰度等高线的金相组织封闭边缘提取[J].光学精密工程, 2010, 18(10): 2314-2323.

DENG SH CH, LIU T G, XIAO Z X.The closed edge extraction of metallographic structure using Canny algorithm and gray contour[J]. Opt. Precision Eng. , 2010, 18(10): 2314-2323. (in Chinese)

侯守明, 王阳, 唐琪博, 等.一种基于偏微分方程和Canny算子的图像分割方法[J].山西大学学报(自然科学版), 2017, 40(4):676-682.

HOU SH M, WANG Y, TANG Q B, et al .. An image segmentation method based on partial differential equations and Canni operator[J]. Journal of Shanxi University (Natural Science Edition) , 2017, 40(4): 676-682. (in Chinese)

LI CH M, RUI H, DING ZH H, et al .. A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI[J]. IEEE Transactions on Image Processing(S1057-7149) , 2011, 20(7):2007-2016.

侯守明, 唐琪博, 谷孝卫.基于C-V模型的线束端子断面测量系统设计[J].测控技术, 2015, 34(10):42-45+49.

HOU SH M, TANG Q B, GU X W.Design of wire harness terminal section measurement system based on C-V model[J]. Measurement & Control Technology , 2015, 34(10):42-45+49. (in Chinese)

ZHANG Y Q, CHEN H, WANG L, et al .. Color image segmentation using level set method with initialization mask in multiple color spaces[J]. International Journal of Engineering and Manufacturing (IJEM) , 2011, 1(4):70-76.

Views

110

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Computed tomography image segmentation of cell pole piece via strip attention mechanism

Sand microscopic image segmentation with enhanced tuna swarm optimization exponential entropy

Brain tumor image segmentation based on Semantic Flow Guided Sampling and Attention Mechanism

Automatic segmentation of aggregate images with MET optimized by chaos SSA

Real time semantic segmentation network of wire harness terminals based on multiple receptive field attention

Related Author

LIU Zefang

LONG Chao

LIU Xueshuan

HAN Yan

TAN Chuandong

TAN Hui

DUAN Liming

WANG Mengfei

Related Institution

Project Management Center， Equipment Department of Rocket Force

College of Optoelectronic Engineering， Chongqing University

ICT Research Center， Key Laboratory of Optoelectronic Technology and Systems of Ministry of Education， Chongqing University

School of Electrical and Electronic Engineering， Wenzhou University

College of Information， Chang'an University

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰