Fuzzy Mathematical Morphology and Applications in Image Processing

被引：1
|
作者：
Andrade, Alexsandra Oliveira [1 ]
Bergamaschi, Flaulles Boone [1 ]
Prado Trindade, Roque Mendes [1 ]
Nunes Santiago, Regivan Hugo [2 ]
机构：
[1] Southwest Bahia State Univ, Conquista, Brazil
[2] Univ Fed Rio Grande do Norte, Natal, RN, Brazil
来源：
FUZZY INFORMATION PROCESSING 2020 | 2022年 / 1337卷
关键词：
Fuzzy mathematical morphology; Fuzzy logic; Counting; Mycorrhizal; BINARY;
D O I：
10.1007/978-3-030-81561-5_4
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fuzzy Mathematical Morphology extends binary morphological operators to grayscale and color images using concepts from fuzzy logic. To define the morphological operators of erosion and fuzzy dilation, the R-implications and fuzzy T-norm respectively are used. This work presents the application of the fuzzy morphological operators of Lukasiewicz, Godel and Goguen and of the epsilon and delta functions of Weber and Fodor in the counting of mycorrhizal fungi spores.
引用
收藏
页码：31 / 40
页数：10
相关论文
共 50 条
  • [1] Fuzzy mathematical morphology and its applications to colour image processing
    Popov, Antony T.
    [J]. WSCG 2007, SHORT COMMUNICATIONS PROCEEDINGS I AND II, 2007, : 205 - 209
  • [2] Applications of soft mathematical morphology in image processing
    Dong, YZ
    Zhou, XD
    Shen, TS
    [J]. PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 2, 2004, : 177 - 181
  • [3] A fuzzy mathematical morphology based on discrete t-norms: fundamentals and applications to image processing
    Gonzalez-Hidalgo, Manuel
    Massanet, Sebastia
    [J]. SOFT COMPUTING, 2014, 18 (11) : 2297 - 2311
  • [4] A fuzzy mathematical morphology based on discrete t-norms: fundamentals and applications to image processing
    Manuel González-Hidalgo
    Sebastia Massanet
    [J]. Soft Computing, 2014, 18 : 2297 - 2311
  • [5] A Survey Paper on: Fuzzy Mathematical Morphology Techniques for Digital Image Processing
    Aggarwal, Gargi
    Agarwal, Vijyant
    [J]. MEMS, NANO AND SMART SYSTEMS, PTS 1-6, 2012, 403-408 : 3469 - 3475
  • [6] Optical intrinsically fuzzy mathematical morphology for gray-scale image processing
    Shao, L
    Liu, LR
    Li, GQ
    [J]. APPLIED OPTICS, 1996, 35 (17): : 3109 - 3116
  • [7] Image and signal processing with mathematical morphology
    Bangham, JA
    Marshall, S
    [J]. ELECTRONICS & COMMUNICATION ENGINEERING JOURNAL, 1998, 10 (03): : 117 - 128
  • [8] Fuzzy mathematical morphology for biological image segmentation
    Caponetti, Laura
    Castellano, Giovanna
    Basile, M. Teresa
    Corsini, Vito
    [J]. APPLIED INTELLIGENCE, 2014, 41 (01) : 117 - 127
  • [9] Fuzzy mathematical morphology for biological image segmentation
    Laura Caponetti
    Giovanna Castellano
    M. Teresa Basile
    Vito Corsini
    [J]. Applied Intelligence, 2014, 41 : 117 - 127
  • [10] Research on Image Processing Based on Mathematical Morphology
    Zhang, Jumei
    [J]. AGRO FOOD INDUSTRY HI-TECH, 2017, 28 (03): : 2738 - 2742
12345