Improved Image Processing Algorithms for Microprobe Final Test

被引:2
作者
Pan, Yuanxing [1 ,2 ]
Liao, Hailong [1 ,2 ]
Li, Junhui [1 ,2 ]
Liu, Xiaohe [2 ]
Zhu, Wenhui [1 ,2 ]
机构
[1] Cent S Univ, State Key Lab High Performance Complex Mfg, Changsha 410083, Peoples R China
[2] Cent S Univ, Sch Mech & Elect Engn, Changsha 410083, Peoples R China
来源
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY | 2018年 / 8卷 / 03期
关键词
Alignment; image processing; machine vision; microprobe; wafer-level packaging final test; THROUGH-SILICON; TSV; CU; PACKAGE; SYSTEM; MODEL;
D O I
10.1109/TCPMT.2018.2794588
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the rapid development of the integrated circuit (IC) industry, testing of IC chips is becoming more and more important. A chip probe final test is an important means of final chip testing, which makes use of contacts between probes and bumps on the chip for electrical connections of the test instrument and the chip, through which the electrical characteristics of the chip are tested one by one. The IC final test is directly completed on the entire packaging wafer before the packaging wafer is cut into single die. This complete testing of the whole wafer before dicing can greatly improve the efficiency of the final test. The precise alignment of probe and chip bumps is an important aspect of the final test process. In this paper, image processing is carried out based on the rectangular frame of the chip surface, for which the rectangular box image-processing algorithm is designed. The chip image showing the deflection angle is acquired, and the offset distance is calculated. The rectangular box algorithm based on the principle of the Hough transform detects the orientation that is used to determine the offset of the rectangular frame. The detection accuracy and efficiency of the algorithm is evaluated, and it is shown that the image-processing algorithm of the chip alignment is improved significantly. An efficient automatic probe final test of packaging wafers can finally be achieved.
引用
收藏
页码:499 / 505
页数:7
相关论文
共 50 条
  • [31] Algorithms to Speed up Contour Tracing in Real Time Image Processing Systems
    Gupta, Sonal
    Kar, Subrat
    IEEE ACCESS, 2022, 10 : 127365 - 127376
  • [32] Towards an Automatic Prediction of Image Processing Algorithms Performances on Embedded Heterogeneous Architectures
    Saussard, Romain
    Bouzid, Boubker
    Vasiliu, Marius
    Reynaud, Roger
    2015 44TH INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING WORKSHOPS, 2015, : 27 - 36
  • [33] SECURE MEDICAL IMAGE RETRIEVAL USING FAST IMAGE PROCESSING ALGORITHMS
    Lafta, Sameer Abdulsttar
    Rafash, Amaal Ghazi Hamad
    Al-falahi, Noaman Ahmed Yaseen
    Hussein, Hussein Abdulqader
    Abdulkareem, Mohanad Mahdi
    SCALABLE COMPUTING-PRACTICE AND EXPERIENCE, 2024, 25 (05): : 4323 - 4334
  • [34] Xmipp 3.0: An improved software suite for image processing in electron microscopy
    de la Rosa-Trevin, J. M.
    Oton, J.
    Marabini, R.
    Zaldivar, A.
    Vargas, J.
    Carazo, J. M.
    Sorzano, C. O. S.
    JOURNAL OF STRUCTURAL BIOLOGY, 2013, 184 (02) : 321 - 328
  • [35] Improved image quality with Bayesian image processing in digital mammography
    Baydush, AH
    Floyd, CE
    MEDICAL IMAGING 2000: IMAGE PROCESSING, PTS 1 AND 2, 2000, 3979 : 781 - 786
  • [36] Lunar Crescent Detection Based on Image Processing Algorithms
    Mostafa Fakhar
    Peyman Moalem
    Mohamad Ali Badri
    Earth, Moon, and Planets, 2014, 114 : 17 - 34
  • [37] Comparison of image processing algorithms for tracking illuminated targets
    Bukley, JW
    Cramblitt, RM
    ACQUISITION, TRACKING, AND POINTING XIII, 1999, 3692 : 234 - 243
  • [38] Application of Improved Median Filter on Image Processing
    Zhu, Rong
    Wang, Yong
    JOURNAL OF COMPUTERS, 2012, 7 (04) : 838 - 841
  • [39] An Improved Optimization Algorithm Applied in Image Processing
    Zhang, Ping
    Wang, Hongyu
    Zhang, Yining
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 2218 - 2221
  • [40] Image Processing Algorithms in the DNA Sequencer "Nanofor SPS"
    Manoilov, V. V.
    Borodinov, A. G.
    Saraev, A. S.
    Petrov, A. I.
    Zarutskiy, I. V.
    Kurochkin, V. E.
    TECHNICAL PHYSICS, 2024, 69 (03) : 612 - 618