Title :
Peak detection in Hough transform via self-organizing learning
Author :
Choy, Cliflord Sze-Tsaiz ; Ser, Pui-Kin ; Siu, Wan-chi
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
fDate :
30 Apr-3 May 1995
Abstract :
In this paper, we suggest a novel concept of applying the self-organizing map (SOM) in the Hough domain for a significant reduction of the Hough space. By using the SOM as the output space of the generalized Hough transform, the conventional 4-D Hough domain is replaced by a 10×10 map, organized in a rectangular grid. Experimental results indicate high accuracy in voting is attainable despite its small memory requirement
Keywords :
Hough transforms; feature extraction; learning (artificial intelligence); self-organising feature maps; 4-D Hough domain; Hough transform; learning; memory; peak detection; rectangular grid; self-organizing map; voting; Analog circuits; Costs; Councils; Feature extraction; Genetic expression; Neural networks; Neurons; Pixel; Testing; Voting;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.521470
