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Proceedings Paper

Empirical study of morphological operators in color image enhancement
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Paper Abstract

The use of mathematical morphology in low and mid-level image processing and computer vision applications has allowed the development of a class of techniques for analyzing shape information in monochromatic images. In this paper, we extend some of these techniques to color images. We have investigated the application of various methods for 'color morphology'. We present results of our empirical study for three different applications: noise suppression, multiscale smoothing, and edge detection.

Paper Details

Date Published: 19 May 1992
PDF: 12 pages
Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); doi: 10.1117/12.58338
Show Author Affiliations
Mary L. Comer, Purdue Univ. (United States)
Edward J. Delp, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 1657:
Image Processing Algorithms and Techniques III
James R. Sullivan; Benjamin M. Dawson; Majid Rabbani, Editor(s)

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