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