Paper
21 March 1989 Image Segmentation Using The Morphological Pyramid
Changkyu Lee, Robert M. Haralick, Tsaiyun Phillips
Author Affiliations +
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Changkyu Lee, Robert M. Haralick, and Tsaiyun Phillips "Image Segmentation Using The Morphological Pyramid", Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); https://doi.org/10.1117/12.969272
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Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Signal to noise ratio

Image processing

Image processing algorithms and systems

Evolutionary algorithms

Artificial intelligence

Mathematical morphology

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