ON EDGE MAPS BASED ON THE NON-DECIMATED HAAR WAVELET: A QUALITY COMPARISON

ELENA RUFEIL FIORI; GIMENEZ, J. A.; ANA GEORGINA FLESIA

Córdoba

Congreso; IV CLAM 2012; 2012

UMALCA

Edge detection has always played an important role in digital image processing. Lately, wavelet based edge maps have been derived as a way of extracting structural information for image quality measures. In this paper, we propose a comparison between two wavelet based edge detection methods. We implemented a deterministic thresholding scheme over the non-decimated Haar wavelet transform, and a probabilistic method based on a one dimensional Hidden Markov model of the same wavelet coecients. We observe that the quality of edges detected by the two methods are visually different, and we quantify these differences with an index that penalizes differently edge hits than background hits. We show a detailed study of a natural image with different levels of noise added.