Title :
Rotation invariant image pattern recognition using ring spiral scanning
Author :
Sims, S.R.F. ; Poularikas, A.D.
Author_Institution :
US Army Missile Command Res. Dev. & Eng. Center, Redstone Arsenal, AL, USA
Abstract :
One of the techniques used to detect and recognize objects in an image is the synthetic discriminant function. The technique is based on spatial autocorrelation and frequency-domain data processing. To minimize the time needed to process a full image, the ring spiral approach is proposed and investigated. It is found that for images without additive noise the speed of detection improved by more than a factor of 1000
Keywords :
pattern recognition; frequency-domain data processing; ring spiral scanning; rotation invariant image pattern recognition; spatial autocorrelation; synthetic discriminant function; Additive noise; Autocorrelation; Data processing; Frequency domain analysis; Image recognition; Military computing; Missiles; Object detection; Pattern recognition; Spirals;
Conference_Titel :
System Theory, 1990., Twenty-Second Southeastern Symposium on
Conference_Location :
Cookeville, TN
Print_ISBN :
0-8186-2038-2
DOI :
10.1109/SSST.1990.138166
