Sobel Edge Detection Algorithm with Adaptive Threshold based on Improved Genetic Algorithm for Image Processing

被引：2
|
作者：
Kong, Weibin [1 ]
Chen, Jianzhao [1 ]
Song, Yubin [1 ]
Fang, Zhongqing [1 ]
Yang, Xiaofang [1 ]
Zhang, Hongyan [1 ]
机构：
[1] Yancheng Inst Technol, Res Ctr Photoelect & Informat Technol, Sch Informat Engn, Yancheng, Jiangsu, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS | 2023年 / 14卷 / 02期
关键词：
Genetic algorithm; Sobel operator; edge detection; adaptive threshold;
D O I：
10.14569/IJACSA.2023.0140266
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, a novel adaptive threshold Sobel edge detection algorithm based on the improved genetic algorithm is proposed to detect edges. Because of the influence of external factors in actual detection process, the result of detection is often not accurate enough when the configured threshold of the target image is far away from the real threshold. Different thresholds of images are calculated by improved genetic algorithm for different images. The calculated threshold is used in edge detection. The experimental results show that the image processed by the improved algorithm has stronger edge continuity. It is shown that proposed algorithm has a better detection effect and applicability than the traditional Sobel algorithm.
引用
收藏
页码：557 / 562
页数：6
相关论文
共 50 条
  • [31] Cobble edge detection algorithm based on digital image processing
    Zhang, Rangang
    Yang, Shengfa
    Jin, Jianling
    Zhang, Peng
    Wang, Li
    Hu, Chunhong
    Yang, Jin
    Xie, Qingrong
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2023, 17 (02)
  • [32] Image Edge Detection Algorithm Based on Improved Canny Operator
    Deng, Cai-Xia
    Wang, Gui-Bin
    Yang, Xin-Rui
    [J]. 2013 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION (ICWAPR), 2013, : 168 - 172
  • [33] An Improved Edge Detection Algorithm Based On Image Fuzzy Enhancement
    Zhang, Daode
    Zhan, Bisheng
    Yang, Guangyou
    Hu, Xinyu
    [J]. ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6, 2009, : 2403 - 2406
  • [34] An Improved Algorithm for Image Edge Detection Based on Lifting Scheme
    张红英
    吴斌
    彭启琮
    [J]. Journal of Electronic Science and Technology, 2005, (02) : 113 - 115
  • [35] A new image edge detection algorithm based on improved Canny
    School of Software, East China Jiaotong University, Nanchang, Jiangxi
    330013, China
    [J]. J. Comput. Methods Sci. Eng., 2020, 2 (629-642): : 629 - 642
  • [36] A new image edge detection algorithm based on improved Canny
    Cao, Yiqin
    Wu, Dan
    Duan, Yeyu
    [J]. JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING, 2020, 20 (02) : 629 - 642
  • [37] Image Retrieval Based on Improved Canny Edge Detection Algorithm
    Dong, Yubing
    Li, Mingjing
    Li, Jie
    [J]. PROCEEDINGS 2013 INTERNATIONAL CONFERENCE ON MECHATRONIC SCIENCES, ELECTRIC ENGINEERING AND COMPUTER (MEC), 2013, : 1453 - 1457
  • [38] A Method of Image Segmentation Based on Improved Adaptive Genetic Algorithm
    Yu, Wenjiao
    Huang, Mengxing
    Zhu, Donghai
    Li, Xuegang
    [J]. FOUNDATIONS OF INTELLIGENT SYSTEMS (ISKE 2011), 2011, 122 : 507 - 516
  • [39] Study on Improved Algorithm for Image Edge Detection
    Jiang Lixia
    Zhou Wenjun
    Wang Yu
    [J]. 2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 4, 2010, : 476 - 479
  • [40] An adaptive immune genetic algorithm for edge detection
    Li, Ying
    Bai, Bendu
    Zhang, Yanning
    [J]. ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE, 2007, 4682 : 565 - 571
12345