Edge detection: conventional operators vis a vis wavelets

Rajeev Singh; Ramon E. Vasquez; Reena Singh

doi:10.1117/12.271262

10 April 1997 Edge detection: conventional operators vis a vis wavelets

Rajeev Singh, Ramon E. Vasquez, Reena Singh

Proceedings Volume 2984, Three-Dimensional Microscopy: Image Acquisition and Processing IV; (1997) https://doi.org/10.1117/12.271262
Event: BiOS '97, Part of Photonics West, 1997, San Jose, CA, United States

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.

Citation Download Citation

Rajeev Singh, Ramon E. Vasquez, and Reena Singh "Edge detection: conventional operators vis a vis wavelets", Proc. SPIE 2984, Three-Dimensional Microscopy: Image Acquisition and Processing IV, (10 April 1997); https://doi.org/10.1117/12.271262

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