Morphological Gradient Operators for Colour Images

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12 Citations (Scopus)
165 Downloads (Pure)

Abstract

A new morphological gradient operator for colour images is introduced that can be viewed as a direct extension of the well known morphological gradient. In this approach, each pixel is considered as multivariate data and its output is the maximum distance between any two points within a structuring element, determined by a norm. In contrast with other nonlinear schemes, this approach reduces to the morphological gradient for single channel images. It is also computationally efficient and responds well to step edges. To overcome, any sensitivity to noise a robust colour morphological gradient operator is proposed that rejects outlying vector pairs before determining the maximum distance. Results show the effectiveness of the techniques.
Original languageEnglish
Pages3089-3092
Number of pages4
DOIs
Publication statusPublished - 2004
EventIEEE International Conference on Image Processing (ICIP '04) - Singapore
Duration: 24 Oct 200427 Oct 2004

Conference

ConferenceIEEE International Conference on Image Processing (ICIP '04)
CitySingapore
Period24/10/0427/10/04

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