The Parallel Environment for Endoscopic Image Analysis
PPAM '01 Proceedings of the th International Conference on Parallel Processing and Applied Mathematics-Revised Papers
Parallel Image Matching on PC Cluster
Proceedings of the 8th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Non-Iterative Hierarchical Registration for Medical Images
Journal of Signal Processing Systems
Palmprint verification using hierarchical decomposition
Pattern Recognition
A low-complexity reduced-reference print identification algorithm
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
An integration of biometrics and mobile computing for personal identification
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Bi-hierarchy medical image registration based on steerable pyramid transform
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
| Hi-index | 0.01 |
We present a wavelet-based, high performance, hierarchical scheme for image matching which includes (1) dynamic detection of interesting points as feature points at different levels of subband images via the wavelet transform, (2) adaptive thresholding selection based on compactness measures of fuzzy sets in image feature space, and (3) a guided searching strategy for the best matching from coarse level to fine level. In contrast to the traditional parallel approaches which rely on specialized parallel machines, we explored the potential of distributed systems for parallelism. The proposed image matching algorithms were implemented on a network of workstation clusters using parallel virtual machine (PVM). The results show that our wavelet-based hierarchical image matching scheme is efficient and effective for object recognition