Title :
Hierarchical pattern matching using a high entropy signature
Author_Institution :
Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW, Australia
Abstract :
This paper describes a hierarchical matching method based on multichannel filtering. Zero-crossings extracted from a set of one-octave LoG filters provide features at different scales. A signature using optimal coding is proposed and has a higher entropy than Fourier descriptors. Voronoi diagram is used to guide matching from coarse to fine. The method has been successfully applied for matching electrophoretic images
Keywords :
image matching; Fourier descriptors; Voronoi diagram; electrophoretic image matching; hierarchical pattern matching; high entropy signature; multichannel filtering; one-octave LoG filters; optimal coding; zero-crossings; Australia; Computer science; Entropy; Filtering; Humans; Layout; Matched filters; Pattern matching; Shape; Visual perception;
Conference_Titel :
Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6270-0
DOI :
10.1109/ICPR.1994.576975
