Title :
A wavelet-based coarse-to-fine image matching scheme in a parallel virtual machine environment
Author :
You, Jane ; Bhattacharya, Prabir
Author_Institution :
Sch.. of Comput. & Inf. Technol., Griffith Univ., Brisbane, Qld., Australia
fDate :
9/1/2000 12:00:00 AM
Abstract :
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
Keywords :
feature extraction; image matching; object recognition; parallel machines; search problems; wavelet transforms; workstation clusters; adaptive thresholding selection; compactness measures; distributed systems; dynamic detection; feature points; fuzzy sets; guided searching strategy; high performance hierarchical scheme; image feature space; image matching algorithms; interesting points; object recognition; parallel virtual machine environment; subband images; wavelet transform; wavelet-based coarse-to-fine image matching; wavelet-based hierarchical image matching; workstation clusters network; Extraterrestrial measurements; Feature extraction; Fuzzy sets; Image edge detection; Image matching; Object recognition; Parallel machines; Pixel; Virtual machining; Wavelet transforms;
Journal_Title :
Image Processing, IEEE Transactions on
