An Efficient Ant Colony System for Edge Detection in Image Processing

被引：3
|
作者：
Khaluf, Yara [1 ]
Gullipalli, Syam [1 ]
机构：
[1] Univ Paderborn, Paderborn, Germany
来源：
ECAL 2015: THE THIRTEENTH EUROPEAN CONFERENCE ON ARTIFICIAL LIFE | 2015年
关键词：
OPTIMIZATION;
D O I：
10.7551/978-0-262-33027-5-ch071
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Edge detection is a fundamental procedure in image processing, machine vision, and computer vision. Its application area ranges from astronomy to medicine in which isolating the objects of interest in the image is of a significant importance. However, performing edge detection is a non-trivial task for which a large number of techniques have been proposed to solve it. This paper investigates the use of Ant Colony Optimization - a prominent set of optimization heuristics - to solve the edge detection problem. We propose two modified versions of the algorithm Ant Colony System (ACS) for an efficient and a noise-free edge detection.
引用
收藏
页码：398 / 405
页数：8
相关论文
共 50 条
  • [21] Edge Detection of Laser Range Image Based on a Fast Adaptive Ant Colony Algorithm
    Wu, Yonghua
    Hu, Yihua
    Lei, Wuhu
    Zhao, Nanxiang
    Huang, Tao
    [J]. ADVANCES IN SWARM INTELLIGENCE, PT 1, PROCEEDINGS, 2010, 6145 : 265 - 272
  • [22] Infrared image edge detection applied research based on improved ant colony algorithm
    Qiao, B. M.
    Li, S.
    Xiao, Y.
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND ENGINEERING INNOVATION, 2015, 12 : 141 - 144
  • [23] Optimizing Robinson Operator with Ant Colony Optimization As a Digital Image Edge Detection Method
    Nasution, Tarida Yanti
    Zarlis, Muhammad
    Nasution, Mahyuddin K. M.
    [J]. INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY (ICONICT), 2017, 930
  • [24] An efficient edge detection algorithm for flame and fire image processing
    Kalpana, Y.
    Padmaa, M.
    [J]. 2014 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2014,
  • [25] A Novel Medical Image Edge Detection Method Based on Reinforcement Learning and Ant Colony Optimization
    Wang, Xinhua
    Ouyang, Jihong
    Zhu, Yungang
    Yu, Haibo
    Li, Helong
    [J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2019, 9 (01) : 175 - 182
  • [26] A Novel Image Edge Detection Method Based on Multi-Population Ant Colony Optimization
    Wang, Shu
    [J]. 2019 6TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE 2019), 2019, : 91 - 94
  • [27] Efficient ant colony optimization for image feature selection
    Chen, Bolun
    Chen, Ling
    Chen, Yixin
    [J]. SIGNAL PROCESSING, 2013, 93 (06) : 1566 - 1576
  • [28] A proposal of edge detection in images with multiplicative noise using the Ant Colony System algorithm
    Baltierra, Sergio
    Valdebenito, Jonathan
    Mora, Marco
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2022, 110
  • [29] An ant colony system based method for edge extraction
    Gao, Shi-wei
    Cao, Wei
    Zhang, Chuan
    Wang, Dong-liang
    [J]. MATERIALS, MECHATRONICS AND AUTOMATION, PTS 1-3, 2011, 467-469 : 123 - 128
  • [30] Edge detection in digital images using Ant Colony Optimization
    Rafsanjani, Marjan Kuchaki
    Varzaneh, Zahra Asghari
    [J]. COMPUTER SCIENCE JOURNAL OF MOLDOVA, 2015, 23 (03) : 343 - 359
12345