Paper Info
Title
Exact Zernike and pseudo-Zernike moments image reconstruction based on circular overlapping blocks and Chamfer distance.
Abstract
This study aims to explore a novel approach to reconstruct multi-gray-level images based on circular blocks reconstruction method using two exact and fast moments: Zernike (CBR-EZM) and pseudo-Zernike (CBR-EPZM): An image is first divided into a set of sub-images which are then reconstructed independently. We also introduced Chamfer distance (CD) to capitalize on the use of discrete distance instead of Euclidean one. The combination of our methods and CD leads to CBR-EZM-CD and CBR-EPZM-CD methods. Obviously, image partitioning offers significant advantages, but an undesirable circular blocking effect can occur. To mitigate this effect, we have implemented overlapping feature to our new methods leading to OCBR-EZM-CD and OCBR-EPZM-CD, by exploiting neighborhood information of the circular blocks. The main motivation of this novel approach is to explore new applications of Zernike and pseudo-Zernike moments. One of the fields is feature extraction for pattern recognition: Zernike and pseudo-Zernike moments are well known to capture only the global features, but thanks to the circular block reconstruction, we can now use those moments to extract also local features.
Year
DOI
Venue
2017
10.1007/s11760-017-1088-5
Signal, Image and Video Processing
Keywords
Field
DocType
Exact Zernike moments computation, Exact pseudo-Zernike moments computations, Fast algorithm, Chamfer distance, gray-level images, Circular blocking artifact, Overlapping method, Time processing
Iterative reconstruction,Blocking effect,Pattern recognition,Zernike polynomials,Feature extraction,Artificial intelligence,Chamfer distance,Euclidean geometry,Velocity Moments,Mathematics
Journal
Volume
Issue
ISSN
11
7
1863-1703
Citations 
PageRank 
References 
1
0.35
17
Authors
4
Name
Order
Citations
PageRank
zaineb bahaoui151.10
Hakim El Fadili2284.18
K. Zenkouar3507.87
Arsalane Zarghili475.87