Challenges and Needs for Automating Nano Image Processing for Material Characterization

被引:4
作者
Ding, Yu [1 ]
Bukkapatnam, Satish T. S. [1 ]
机构
[1] Texas A&M Univ, TEES Inst Mfg Syst, Ind & Syst Engn Dept, College Stn, TX 77843 USA
来源
NANOENGINEERING: FABRICATION, PROPERTIES, OPTICS, AND DEVICES XII | 2015年 / 9556卷
关键词
Electron microscopy; nano metrology; quality and process control; scalable nanomanufacturing; CARBON NANOTUBE; CELL-NUCLEI; OBJECT CLASSIFICATION; ACTIVE CONTOURS; SEGMENTATION; GROWTH;
D O I
10.1117/12.2186251
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Image processing techniques are needed to extract critical information pertinent to nano material characterization but the current processing methods are slow, expensive and labor intensive. There is a strong need to develop fast and reliable methods, enabling process control compatible automated processing of nano images. The authors believe specialized techniques are needed to address the challenges, and will discuss the recent development of nano image processing methods as well as the near-and medium-terms needs in the area of nano metrology and imaging. The authors will share their broad perspectives on this research direction.
引用
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页数:7
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共 46 条
  • [1] An efficient method based on watershed and rule-based merging for segmentation of 3-D histo-pathological images
    Adiga, PSU
    Chaudhuri, BB
    [J]. PATTERN RECOGNITION, 2001, 34 (07) : 1449 - 1458
  • [2] AN INTRODUCTION TO KERNEL AND NEAREST-NEIGHBOR NONPARAMETRIC REGRESSION
    ALTMAN, NS
    [J]. AMERICAN STATISTICIAN, 1992, 46 (03) : 175 - 185
  • [3] [Anonymous], 1988, Integer and combinatorial optimization
  • [4] Bengtsson E., 2004, Pattern Recognition and Image Analysis, V14, P157
  • [5] Brigham E.O., 2002, The Fast Fourier Transform
  • [6] Active contours without edges
    Chan, TF
    Vese, LA
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2001, 10 (02) : 266 - 277
  • [7] Chen LC, 2008, REV ADV MATER SCI, V18, P679
  • [8] Using prior shapes in geometric active contours in a variational framework
    Chen, YM
    Tagare, HD
    Thiruvenkadam, S
    Huang, F
    Wilson, D
    Gopinath, KS
    Briggs, RW
    Geiser, EA
    [J]. INTERNATIONAL JOURNAL OF COMPUTER VISION, 2002, 50 (03) : 315 - 328
  • [9] Segmentation of Clustered Nuclei With Shape Markers and Marking Function
    Cheng, Jierong
    Rajapakse, Jagath C.
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2009, 56 (03) : 741 - 748
  • [10] Danek O, 2009, LECT NOTES COMPUT SC, V5575, P410, DOI 10.1007/978-3-642-02230-2_42