Abstract
Mathematical morphology has become an important tool for machine vision since the influential work by Serra (1982). It is a branch of image analysis based on set-theoretic descriptions of images and their transformations. As is well known, the chain rule for basic morphological operations, i.e., dilation and erosion, lends itself well to pipelining. Specialized pipeline architecture hardware built in the past decade is capable of efficiently performing morphological operations. The nature of specialized hardware depends on the strategy for morphologically decomposing a structuring element. The two-pixel decomposition technique and the cellular decomposition technique are the two main techniques for morphological structuring-element decomposition. The former was used by the image flow computer and the latter by the cytocomputer.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
