Paper Title:
A Novel Method of Sub-Pixel Linear Edge Detection Based on First Derivative Approach
  Abstract

In this paper, a novel algorithm is proposed to detect linear edge. Image gradient is acquired by Sobel or Prewitt filters. Logical addition is applied to enhance image contrast. Statistical method is employed to cope with gradient data—gradient projection in the horizontal and vertical direction to compute the average gradient value. Multi-level B-Spline interpolation is employed to smooth gradient data. At last, edge coordinates can be computed precisely by the number and interval of extreme points. The experiment results are presented to show validity of the algorithm, which precision and accuracy can reach to sub-pixel. The proposed approach puts merits of zero crossing method and threshold method together, which is very robust, convenient and efficient to detect linear edge in industrial environment.

  Info
Periodical
Advanced Materials Research (Volumes 139-141)
Edited by
Liangchi Zhang, Chunliang Zhang and Tielin Shi
Pages
2107-2111
DOI
10.4028/www.scientific.net/AMR.139-141.2107
Citation
X. C. Shi, Z. Z. Sun, S. L. Lu, "A Novel Method of Sub-Pixel Linear Edge Detection Based on First Derivative Approach", Advanced Materials Research, Vols. 139-141, pp. 2107-2111, 2010
Online since
October 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Shi Ming Ji, L.B. Zhang, Y.H. Wan, Ju Long Yuan, Li Zhang, X. Zhang, S.C. Xiong, Q.H. Yang
761
Authors: Yun Feng Yang, Xiao Guang Wei, Zhi Xun Su
Abstract:Image interpolation is used widely in the computer vision. Holding edge information is main problem in the image interpolation. By using...
564
Authors: Wen Zhong Yan, Da Zhi Deng
Chapter 7: Computer Engineering, Software, Communication and Data Processing
Abstract:Edges characterize boundaries. Edge detection is a problem of fundamental importance in image processing. The key of edge detection for image...
393
Authors: Yue Jing Qian, Yuan Fan
Chapter 10: Computer Application Technology
Abstract:Rice edge detection is the first step on obtaining rice image feature. In this paper, an improved Canny edge detection algorithm was...
1302
Authors: Xia Zhu, Yu Lin Zhang
Chapter 22: Technologies of Measuring, Testing and Monitoring, Data and Signal Processing
Abstract:In this paper, we present a new method to detect sub-pixel edges of shape-known objects. Differ from other sub-pixel edge detection methods...
2526