Title :
Unified approach to snakes, elastic nets and Kohonen maps
Author :
Abruntes, A.J. ; Marques, Jorge S.
Author_Institution :
INESC, Polytech. Inst. of Lisbon, Portugal
Abstract :
Snakes, elastic nets and Kohonen networks are well known algorithms which were developed in different contexts. However, these algorithms share common features allowing one to ask what is the relationship among them and suggesting their use in problems which have traditionally been tackled by only one of them. The paper addresses the problem of edge linking and proposes a new class of nonlinear recursive algorithms, based on a general cost function, which includes snakes, Kohonen maps, and elastic nets as special cases. This class provides an unified framework for several existing algorithms in pattern recognition and active contours and allows the design of new recursive schemes
Keywords :
edge detection; image classification; recursive functions; self-organising feature maps; Kohonen maps; active contours; edge linking; elastic nets; general cost function; nonlinear recursive algorithms; pattern recognition; recursive schemes; snakes; unified framework; Active contours; Algorithm design and analysis; Clustering algorithms; Computer vision; Cost function; Image edge detection; Joining processes; Neural networks; Self organizing feature maps; Shape;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479722