&lt;title&gt;Morphological edge-enhancing filtering of images&lt;/title&gt;

Xiangji Li; Runtao Ding

doi:10.1117/12.323652

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<title>Morphological edge-enhancing filtering of images</title>

Xiangji Li Runtao Ding

Year: 1998 Journal: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 3545 Pages: 262-265 Publisher: SPIE

DOI: 10.1117/12.323652

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Abstract

The application of mathematical morphology to edge enhancement of images is studied in this paper, and a morphological edge enhancing operator and its anti-noises counterpart are also presented. This morphological operator enhances the gradients of edges while attenuates noises and preserves edges. It is showed by computer simulations that the gradient of edges is enhanced by the morphological edge enhancing operator and, then, the structure and feature of images are strengthened and edges can be easily extracted.

Keywords:

Enhanced Data Rates for GSM Evolution Edge detection Mathematical morphology Operator (biology) Computer vision Feature (linguistics) Artificial intelligence Morphological gradient Morphology (biology) Computer science Pattern recognition (psychology) Image (mathematics) Mathematics Algorithm Image processing Chemistry Biology

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Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Measurement and Detection Methods

Physical Sciences → Engineering → Electrical and Electronic Engineering

<title>Morphological edge-enhancing filtering of images</title>

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