DocumentCode :
2156785
Title :
Converting images to pseudo random dots: performance evaluation
Author :
Pochec, Przemyslaw ; Hadi, Setiawan
Author_Institution :
Fac. of Comput. Sci., New Brunswick Univ., Fredericton, NB, Canada
Volume :
2
fYear :
1997
fDate :
20-22 Aug 1997
Firstpage :
1018
Abstract :
Applications of Moire patterns have been reported in stereo matching (disparity measurement) and in developing a binary similarity measure. Matching based on Moire patterns requires that the images be converted to pseudo random dot representation. Two classes of algorithms for converting images to random dots are presented: (i) high pass filtering, and (ii) bit slicing. Parameters which influence dot density and uniformity of distribution are investigated
Keywords :
filtering theory; high-pass filters; image matching; image representation; random processes; stereo image processing; Moire patterns; binary similarity measure; bit slicing; disparity measurement; distribution uniformity; dot density; high pass filtering; image conversion; image matching; performance evaluation; pseudo random dot representation; stereo matching; Application software; Computer science; Filtering; Filters; Image converters; Image edge detection; Mathematics; Pattern matching; Pixel; US Department of Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Computers and Signal Processing, 1997. 10 Years PACRIM 1987-1997 - Networking the Pacific Rim. 1997 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-3905-3
Type :
conf
DOI :
10.1109/PACRIM.1997.620433
Filename :
620433
Link To Document :
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