Author(s) :

Palwinder Singh.

Volume/Issue :

Abstract :

The geometric structures of images and signals can be systematically analyzed by using mathematical morphology. Mathematical morphology provides very useful tools and techniques for analysis of digital images. Image Operations like reduction, enlargement, rotation, color corrections, quantization or image differencing are geometric transformations. The basic assumption in image morphology is that image contains geometric structures that can be handled by set operators. Mathematical morphology can be used in many areas like noise elimination, feature extraction, edge detection and image segmentation. In this paper role of mathematical morphology in digital image processing will be described.

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