By Topic

Morphological image processing and its parallel implementation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
He Sha ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore ; Chan Choong Wah

No sequential computer can meet processing demands today. One of the few options for meeting the computation needs is to exploit parallel processing. Morphological image processing algorithms are utilized in many machine vision systems because it is a very powerful image processing tool. Morphology analyses the images from the perspective of set theory and geometry. In this paper, considering the practical restriction of the resources, we proposed a multi-processor architecture for morphological image processing. The architecture is simulated on a HP9000 series 700 workstation. The basic morphological operations such as dilation, erosion and algorithms such as edge detection can be easily and effectively implemented with the proposed architecture. Experimental results indicate that the architecture is robust. We also describe an application of morphological image processing based on this parallel architecture, i.e., marking and counting objects

Published in:

Signal Processing, 1996., 3rd International Conference on  (Volume:1 )

Date of Conference:

14-18 Oct 1996