Title :
Image template matching on hypercube array processors
Author_Institution :
Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA
Abstract :
Describes an SIMD parallel algorithm for efficient implementation of template matching for object recognition. The correlation coefficient is used to find the best match between the template of an object and the given search image. A fast computing algorithm is developed and implemented on a 16-node hypercube concurrent system
Keywords :
computerised pattern recognition; computerised picture processing; correlation methods; hypercube networks; parallel algorithms; SIMD; computerised pattern recognition; computerised picture processing; concurrent system; correlation coefficient; hypercube array processors; object recognition; parallel algorithm; template matching; Broadcasting; Hypercubes; Pixel; Reflective binary codes; Tires; Topology; Velocity measurement;
Conference_Titel :
System Theory, 1991. Proceedings., Twenty-Third Southeastern Symposium on
Conference_Location :
Columbia, SC
Print_ISBN :
0-8186-2190-7
DOI :
10.1109/SSST.1991.138574
