Share Email Print

Proceedings Paper

Multiscale region segmentation of images using nonlinear methods
Author(s): Balaji Iyer; Malcolm David Macleod
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Region segmentation is the process of identifying the regions within an image, where a region is a group of connected pixels with similar properties. In this paper, we present method of region segmentation using the scale-tree obtained from a datasieve--a recursive non-linear morphological filter. An initial segmentation of the image is done using the scale-tree based region growing method. We show that the properties of the datasieve scale-tree, in conjunction with the scale-tree based region growing method can be used to obtain the features of the objects in the image. The initial segmentation is then followed by post- processing methods for yielding a final segmentation. The results presented for several color images show the methods to be promising.

Paper Details

Date Published: 30 May 2000
PDF: 10 pages
Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); doi: 10.1117/12.386610
Show Author Affiliations
Balaji Iyer, Univ. of Cambridge (United States)
Malcolm David Macleod, Univ. of Cambridge (United Kingdom)

Published in SPIE Proceedings Vol. 4067:
Visual Communications and Image Processing 2000
King N. Ngan; Thomas Sikora; Ming-Ting Sun, Editor(s)

© SPIE. Terms of Use
Back to Top