Deforges13a
O. Déforges, N. Normand, M. Babel. Fast recursive grayscale morphology operators: from the algorithm to the pipeline architecture. Journal of Real-Time Image Processing, 8(2):143-152, 2013.
Download [help]
Download paper:
Doi page 
Download Hal paper:
Download paper:
Adobe portable document (pdf) 
Copyright notice:
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. This page is automatically generated by bib2html v217, © Inria 2002-2024, Projet Lagadic/Rainbow
Abstract
This paper presents a new algorithm for efficient computation of morphological operations for gray images and the specific hardware. The method is based on a new recursive morphological decomposition method of 8-convex structuring elements by only causal two-pixel structuring elements (2PSE). Whatever the element size, erosion or/and dilation can then be performed during a unique raster-like image scan involving a fixed reduced analysis neighborhood. The resulting process offers low computation complexity combined with easy description of the element form. The dedicated hardware is generic and fully regular, built from elementary interconnected stages. It has been synthesized into an FPGA and achieves high-frequency performances for any shape and size of structuring element
Contact
BibTex Reference
@article{Deforges13a,
Author = {Déforges, O. and Normand, N. and Babel, M.},
Title = {{F}ast recursive grayscale morphology operators: from the algorithm to the pipeline architecture},
Journal = {{J}ournal of {R}eal-{T}ime {I}mage {P}rocessing},
Volume = {8},
Number = {2},
Pages = {143--152},
Year = {2013}
}
EndNote Reference [help]
Get EndNote Reference (.ref)