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Proceedings Paper

Adaptive morphological filters for color image enhancement
Author(s): P. Deng-Wong; Fulin Cheng; Anastasios N. Venetsanopoulos
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Paper Abstract

The structuring element in the conventional morphological operations has fixed size and fixed shape. As a result, images processed by morphological filters have the drawbacks of loss of details or pattern alteration. These deficiencies are intensified when processing color images. When the three independently processed channels are overlayed to form the final color image output, the artificial patterns created in each of the channels add up to form unnatural appearance. In this paper, we examine the new opening operator (NOP) and the new closing operator (NCP) whose structuring element has the ability to alter its shape according to the local geometric features of the images. The design algorithms and their use of the geometric properties to reduce computational complexity will be discussed in detail. Finally, the performance of a morphological filter which is constructed of the NOP and the NCP, is compared to that of the conventional closing-opening filters and the vector median filter in processing color images which are contaminated with noise. It is shown that the adaptive morphological filter removes the noise as effective as the vector median filter, while providing the best detail preservation among all outputs.

Paper Details

Date Published: 1 November 1992
PDF: 8 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131453
Show Author Affiliations
P. Deng-Wong, Univ. of Toronto (Canada)
Fulin Cheng, Univ. of Toronto (Canada)
Anastasios N. Venetsanopoulos, Univ. of Toronto (Canada)


Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)

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