DocumentCode
2085418
Title
Image segmentation algorithm based on statistical pattern recognition methods
Author
Strzecha, Krzysztof
Author_Institution
Comput. Eng. Dept., Tech. Univ. Lodz, Poland
fYear
2001
fDate
12-17 Feb. 2001
Firstpage
200
Lastpage
201
Abstract
Presents a newly developed segmentation algorithm, based on k-NN statistical pattern recognition rule. This algorithm uses arbitrary surface description as the primitive and can be described as a region growing method.
Keywords
image segmentation; pattern classification; statistical analysis; arbitrary surface description; image segmentation algorithm; k-NN rule; k-nearest neighbours classification; primitives; region growing method; statistical pattern recognition methods; Computer vision; Image color analysis; Image edge detection; Image processing; Image segmentation; Image sensors; Machine vision; Pattern recognition; Remotely operated vehicles; Surface fitting;
fLanguage
English
Publisher
ieee
Conference_Titel
CAD Systems in Microelectronics, 2001. CADSM 2001. Proceedings of the 6th International Conference. The Experience of Designing and Application of
Conference_Location
Lviv-Slavsko, Ukraine
Print_ISBN
966-553-079-8
Type
conf
DOI
10.1109/CADSM.2001.975807
Filename
975807
Link To Document