Work

Fast Euclidean morphological operators using local distance transformation by propagation, and applications

Year: 1999

Type: conference-paper

Abstract: We propose a new method to compute the morphological dilation of a binary image with a circular structuring element of any given size, on a discrete lattice. The algorithm is equivalent to applying a threshold on an exact Euclidean distance map, but computations are restricted to a minimum number of pixels. The complexity of this dilation algorithm is compared to the complexity of the commonly used approximation of circular structuring elements and found to have a similar cost, while providing better results.

Source: IEE International Conference on Image Processing and its Applications (IPA)

DOI: 10.1049/cp:19990446

Author: O. Cuisenaire

Institution: UCLouvain

Language: English

Topic: Digital Image Processing Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture

OpenAlex ID: W2159152240

FWCI: 4.75

Cites: 13

Cited by: 64

Related to: 10