Paper Title:
An Adaptive Edge Detection Method for Image Polluted by Hybrid Noise in Image Measurement
  Abstract

Edge detection directly affects the accuracy of image measurement. In this paper, focusing on the edge detection of the image of mechanical part polluted by hybrid noise consisting of Gaussian noise and impulse noise, an adaptive edge detection method is proposed. The proposed method combines a new hybrid filter smoothing noise adaptively with Canny operator to avoid the conflict of Canny operator between noise removing and edge locating, and uses Otsu threshold selection method to determine Dual-threshold of Canny operator adaptively. Using the gauge image polluted by hybrid noise as experiment object, the performance of the proposed method is evaluated qualitatively and quantitatively. Experimental results show that the proposed edge detection method has good performance.

  Info
Periodical
Edited by
Zeng Zhu
Pages
156-162
DOI
10.4028/www.scientific.net/AMR.214.156
Citation
B. Z. Li, H. J. Chen, J. G. Yang, "An Adaptive Edge Detection Method for Image Polluted by Hybrid Noise in Image Measurement", Advanced Materials Research, Vol. 214, pp. 156-162, 2011
Online since
February 2011
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: Bai He Lang, Ling Yun Shen, Tai Lin Han, Yu Qun Chen
Abstract:This paper proposes an adaptive Canny operator edge detection algorithm. The proposed method can automatically set the threshold value...
2037
Authors: Jian Guo Yang, Bei Zhi Li, Hua Jiang Chen
Chapter 2: Measuring and Testing Techniques
Abstract:In this paper, an adaptive edge detection method (Canny operator and Otsu threshold selection based adaptive edge detection method - COAED)...
797
Authors: Kun Lin Yu, Zhi Yu Xie
Chapter 2: Sensors, Detection, Measuring and Monitoring Technologies and Algorithms
Abstract:According to the shortcoming of traditional Canny edge detection algorithm is sensitive to noise and low positioning accuracy, this paper...
203