Earticle

초록

영어

This paper focuses on investigating robust edge detection methods using wavelet transform (WT) techniques. Based on the properties that the WT coefficients due to the edges concentrate and are highly correlated in the region of support (RoS) of the wavelet filters while those due to the white Gaussian noise are still Gaussian, this paper presents two robust WT-based correlation edge detectors by using the correlation of WT coefficients in the RoS of wavelet filters. The first one generates its decision statistics by integrating the point-wise energy of the WT coefficients in the RoS of wavelet filters, which is called as WT-based energy edge detector. The second one generates its decision statistics by integrating the correlation of the WT coefficients in the RoS of wavelet filters, which is called as WT-based coherent edge detector. Moreover, the statistical properties as well as the optimal integration length of these two edge detectors are derived. Finally, simulations are carried out to illustrate the detection performance of the proposed WT-based correlation edge detectors and compare them with the existing edge detection methods.

목차

Abstract
 1. Introduction
 2. WT-based Correlation Edge Detectors using Correlation of WT Coefficients
  2.1. Signal Model
  2.2. WT-based Energy Edge Detector
  2.3. WT-based Coherent Edge Detector
 3. Simulation Results
 4. Conclusions
 References

키워드

저자

• Huiyue Yi [ Shanghai Research Center for Wireless Communications (WiCO), Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605