Title :
On vector piece-wise regression and clustering
Author :
Brailovsky, Victor L.
Author_Institution :
Sch. of Math. Sci., Tel-Aviv Univ., Israel
fDate :
30 Aug-3 Sep 1992
Abstract :
The paper addresses the problem of discovering a piecewise-smooth structure of vector response function corrupted by heavy noise. The solution is obtained by dynamic programming algorithm in combination with a probabilistic estimate. The comparison with the approach based on clustering technique, is discussed
Keywords :
dynamic programming; image recognition; image segmentation; probability; statistical analysis; clustering; dynamic programming; image segmentation; noise; piecewise-smooth structure; probabilistic estimate; vector piecewise regression; vector response function; Clustering algorithms; Dynamic programming; Heuristic algorithms; Image edge detection; Image segmentation; Image texture analysis; Least squares methods; Noise level; Pixel; Signal analysis;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.201933
