Image segmentation method based on extended co-occurrence matrix for multidimensional features and multiple observation windows

Image segmentation method based on extended co-occurrence matrix for multidimensional features and multiple observation windows

Author(s):

Komori, T. ( Mie Univ.(Japan) )
Ohmura, J. ( Nagoya Univ.(Japan) )
Nomura, Y. ( Mie Univ.(Japana) )
Boyce, J.F. ( King's College London(UK) )

Publication title:

Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active Vision

Title of ser.:

Proceedings of SPIE - the International Society for Optical Engineering

Ser. no.:

4572

Pub. Year:

2001

Page(from):

368

Page(to):

378

Pages:

11

Pub. info.:

Bellingham, Wash.: SPIE-The International Society for Optical Engineering

ISSN:

0277786X

ISBN:

9780819443007 [081944300X]

Language:

English

Call no.:

P63600/4572

Type:

Conference Proceedings

Details

TDL ID:	ZA00012400
Series ID:	PA00000029
Conf. info. (Name):	Photonics East : Intelligent robots and computer vision
Conf. info. (Number):	2001 : 20th
Conf. info. (Venue):	Newton, MA, USA
Conf. info. (Date):	2001.10.29-2001.10.31

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