Edge Detection of Images Based on Improved Sobel Operator and Genetic Algorithms

被引：0
|
作者：
Zhang Jin-Yu [1 ]
Chen Yan [1 ]
Huang Xian-Xiang [1 ]
机构：
[1] Xian Res Inst Hightech, Xian, Shaanxi, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND SIGNAL PROCESSING | 2009年
关键词：
Edge Detection; Sobel Operator; Genetic Algorithms; Classes Square Error; Image Processing;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Edge detection of images is a classical problem in computer vision and image processing. The key of edge detection is the choice of threshold; the choice of threshold directly determines the results of edge detection. How to automatically determine an optimal threshold is one of difficult points of edge detection. In this paper, Sobel edge detection operator and its improved algorithm are first discussed in term of optimal thresholding. Then based on Genetic Algorithms and improved Sobel operator, a new automatic threshold algorithm for images processing is proposed. Finally, the edge detection experiments of two real images are conducted by means of two algorithms. The comparative experiment results show that the new algorithm of automatic threshold is very effective. The results are also better than the classical Otsu methods.
引用
收藏
页码：32 / 35
页数：4
相关论文
共 50 条
  • [31] The Improved Algorithm of Edge Detection Based on Canny Operator
    Wang, Weiqing
    Ding, Huafeng
    Xiao, Xingjiang
    Xu, Jun
    Zhang, Yuan
    [J]. MATERIALS SCIENCE AND ENGINEERING, PTS 1-2, 2011, 179-180 : 97 - 102
  • [32] An edge detection algorithm based on improved CANNY operator
    Wang, Xun
    Jin, Jian-Qiu
    [J]. PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, 2007, : 623 - 628
  • [33] Flank angle measurement based on improved Sobel operator
    Jing, Min
    Du, Yubo
    [J]. MANUFACTURING LETTERS, 2020, 25 : 44 - 49
  • [34] DESIGN OF AN IMAGE EDGE-DETECTION FILTER USING THE SOBEL OPERATOR
    KANOPOULOS, N
    VASANTHAVADA, N
    BAKER, RL
    [J]. IEEE JOURNAL OF SOLID-STATE CIRCUITS, 1988, 23 (02) : 358 - 367
  • [35] The Application of Mathematical Morphology and Sobel Operator in Infrared Image Edge Detection
    Zhang, Xiaokang
    Han, Runping
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL INDUSTRIAL INFORMATICS AND COMPUTER ENGINEERING CONFERENCE, 2015, : 916 - 921
  • [36] Image Edge Extraction Based on Fuzzy Theory and Sobel Operator
    Liu, Yulan
    Long, Yi
    [J]. 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2016, : 373 - 378
  • [37] A FPGA based implementation of Sobel edge detection
    Nausheen, Nazma
    Seal, Ayan
    Khanna, Pritee
    Halder, Santanu
    [J]. MICROPROCESSORS AND MICROSYSTEMS, 2018, 56 : 84 - 91
  • [38] Demonstration of Quantum Image Edge Extration Enhancement Through Improved Sobel Operator
    Ma, Yulin
    Ma, Hongyang
    Chu, Pengcheng
    [J]. IEEE ACCESS, 2020, 8 : 210277 - 210285
  • [39] An improved edge detection method with Sobel operator in high-energy flash X-ray radiography
    Institute of Fluid Physics, CAEP, P. O. Box 919-105, Mianyang 621900, China
    [J]. Qiangjiguang Yu Lizishu, 2009, 11 (1729-1733):
  • [40] Image Segmentation Based on Sobel Edge Detection
    Yao, Yuqin
    [J]. PROCEEDINGS OF THE 2016 5TH INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS AND COMPUTER SCIENCE, 2016, 80 : 141 - 144
12345