The Hough-Based Multibeamlet Transform

There are plenty of geometrical multiresolution transforms devoted to efficient edge representation. However, they have two drawbacks. The first one is that such transforms represent mono edge models. And the second one is that they are often based on approximations which are optimal according to th...

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Bibliographic Details
Published in2020 IEEE International Conference on Visual Communications and Image Processing (VCIP) pp. 201 - 204
Main Author Lisowska, Agnieszka
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2020
Subjects
Approximation algorithms
beamlets
edge detection
Hough transform
Image color analysis
Image edge detection
Image resolution
MONOS devices
multibeamlets
multiresolution
PSNR
Transforms
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Summary:There are plenty of geometrical multiresolution transforms devoted to efficient edge representation. However, they have two drawbacks. The first one is that such transforms represent mono edge models. And the second one is that they are often based on approximations which are optimal according to the Mean Square Error what does not necessarily lead to optimal edge approximation. In this paper the multibeamlet transform based on the Hough transform is proposed. This transform is defined to properly detect multiedges present in images. Next, the method of image approximation with the use of the multibeamlet transform is described. Additionally, the modified bottom-up tree pruning algorithm is presented in order to properly approximate images with the use of multibeamlets. As follows from the performed experiments, this approach leads to image approximations with better quality than the state-of-the-art geometrical multiresolution transforms.
ISSN:2642-9357
DOI:10.1109/VCIP49819.2020.9301812