Share Email Print
cover

Proceedings Paper

Image Segmentation Using The Morphological Pyramid
Author(s): Changkyu Lee; Robert M. Haralick; Tsaiyun Phillips
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Mathematical morphology, "algebra of shape", is used in many image processing applications including machine vision recognition, visually guided robot vision systems, biomedical image processing, and low-level vision problems. The fact that mathematical morphology deals with shape characteristics of an image makes it a tool for object recognition, defect detection, and feature extraction. The analogy between the morphological operations for shape and the convolution operations for signals suggests the dominance of mathematical morphology in the image processing applications related to shape, especially in machine vision.

Paper Details

Date Published: 21 March 1989
PDF: 14 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969272
Show Author Affiliations
Changkyu Lee, University of Washington (United States)
Robert M. Haralick, University of Washington (United States)
Tsaiyun Phillips, Seattle University (United States)


Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

© SPIE. Terms of Use
Back to Top