SEGMENTATION OF 3-DIMENSIONAL SURFACES

被引:7
|
作者
MUKHERJEE, J [1 ]
CHATTERJI, BN [1 ]
DAS, PP [1 ]
机构
[1] INDIAN INST TECHNOL,DEPT COMP SCI & ENGN,KHARAGPUR 721302,W BENGAL,INDIA
关键词
3-D images; Digital Neighborhood Plane; region growing; scene analysis; Segmentation;
D O I
10.1016/0167-8655(90)90008-P
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In 3-D scene analysis usually the 3-D surfaces are segmented into planar and quadratic surface regions. In this paper the concept of a digital neighborhood plane has been introduced for the segmentation of digital 3-D surfaces into planar regions. The algorithm is simple and is illustrated with the help of several examples. © 1990.
引用
收藏
页码:215 / 223
页数:9
相关论文
共 50 条
  • [31] The study and implementation of liver volume measuring method based on 3-dimensional reconstruction technology
    Lv, Xiaoqi
    Miao, Yu
    Ren, Xiaoying
    Wu, Jianshuai
    Zhang, Ming
    Gu, Yu
    OPTIK, 2015, 126 (17): : 1534 - 1539
  • [32] Serial Changes in 3-Dimensional Supraspinatus Muscle Volume After Rotator Cuff Repair
    Chung, Seok Won
    Oh, Kyung-Soo
    Moon, Sung Gyu
    Kim, Na Ra
    Lee, Ji Whan
    Shim, Eungjune
    Park, Sehyung
    Kim, Youngjun
    AMERICAN JOURNAL OF SPORTS MEDICINE, 2017, 45 (10) : 2345 - 2354
  • [33] Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging
    Rakocz, Nadav
    Chiang, Jeffrey N.
    Nittala, Muneeswar G.
    Corradetti, Giulia
    Tiosano, Liran
    Velaga, Swetha
    Thompson, Michael
    Hill, Brian L.
    Sankararaman, Sriram
    Haines, Jonathan L.
    Pericak-Vance, Margaret A.
    Stambolian, Dwight
    Sadda, Srinivas R.
    Halperin, Eran
    NPJ DIGITAL MEDICINE, 2021, 4 (01)
  • [34] AN IMPROVED SEGMENTATION APPROACH FOR PLANAR SURFACES FROM UNSTRUCTURED 3D POINT CLOUDS
    Awwad, Tarek M.
    Zhu, Qing
    Du, Zhiqiang
    Zhang, Yeting
    PHOTOGRAMMETRIC RECORD, 2010, 25 (129) : 5 - 23
  • [35] 3D Incomplete Point Cloud Surfaces Reconstruction With Segmentation and Feature-Enhancement
    Wang, Meili
    Ju, Ming
    Fan, Yuling
    Guo, Shihui
    Liao, Minghong
    Yang, Huijun
    He, Dongjian
    Komura, Taku
    IEEE ACCESS, 2019, 7 : 15272 - 15281
  • [36] Segmentation of structured surfaces by using variable illumination
    Lindner, Christoph
    León, Fernando Puente
    TM-TECHNISCHES MESSEN, 2006, 73 (04) : 200 - 207
  • [37] Segmentation of varying degrees of waviness on coated surfaces
    Vogelbacher, Markus
    Ziebarth, Mathias
    Und, Sabine Olawsky
    Beyerer, Juergen
    TM-TECHNISCHES MESSEN, 2014, 81 (12) : 644 - 651
  • [38] Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification
    Cao, Xiangyong
    Xu, Lin
    Meng, Deyu
    Zhao, Qian
    Xu, Zongben
    NEUROCOMPUTING, 2017, 226 : 90 - 100
  • [39] The potential for machine learning algorithms to improve and reduce the cost of 3-dimensional printing for surgical planning
    Huff, Trevor J.
    Ludwig, Parker E.
    Zuniga, Jorge M.
    EXPERT REVIEW OF MEDICAL DEVICES, 2018, 15 (05) : 349 - 356
  • [40] Comparison of Magnetic Resonance Angiography Scans on 1.5, 3, and 7 Tesla Units: A Quantitative Study of 3-Dimensional Cerebrovasculature
    Nowinski, Wieslaw L.
    Puspitasaari, Fiftarina
    Volkau, Ihar
    Marchenko, Yevgen
    Knopp, Michael V.
    JOURNAL OF NEUROIMAGING, 2013, 23 (01) : 86 - 95