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Proceedings Paper

Edge detection: conventional operators vis a vis wavelets
Author(s): Rajeev Singh; Ramon E. Vasquez; Reena Singh
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Paper Abstract

This work investigates a broad spectrum of conventional edge operators such as Sobel, Prewitt, Laplacian, Laplacian of Gaussian, and Roberts vis-a-vis upcoming multiresolution technique of wavelets. The technique of image decomposition with wavelets involves filtering of the image using a quadrature mirror filter pair (QMF) which brings out the details (using coefficients of highpass filter) and simultaneously smoothes the image (using coefficients of lowpass filter). Daubechies and Haar wavelet transforms have been used for the purpose of detecting edges. Haar wavelet has been found to be a most attractive choice for the purpose of edge detection with our methodology. A discussion and analysis of pros and cons of using wavelets against the conventional operators is presented in the paper.

Paper Details

Date Published: 10 April 1997
PDF: 9 pages
Proc. SPIE 2984, Three-Dimensional Microscopy: Image Acquisition and Processing IV, (10 April 1997); doi: 10.1117/12.271262
Show Author Affiliations
Rajeev Singh, Univ. of Puerto Rico/Mayaguez (United States)
Ramon E. Vasquez, Univ. of Puerto Rico/Mayaguez (United States)
Reena Singh, Univ. of Puerto Rico/Mayaguez (United States)


Published in SPIE Proceedings Vol. 2984:
Three-Dimensional Microscopy: Image Acquisition and Processing IV
Carol J. Cogswell; Jose-Angel Conchello; Tony Wilson, Editor(s)

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