Abstract
A systolic architecture for two basic mathematical morphology operations is presented. Mathematical morphology has been proven to be a very useful tool for applications such as image restoration, image skeletonization, pattern recognition, machine vision, etc. The advantages of the design stem from the fact that it has a pipeline period alpha =1, requires simple communications, and exploits the simplicity of the morphological operations to make it possible to implement them in a linear target machine without using multiprojection, although the starting algorithm is a generalized two-dimensional convolution. The optimal partitioning strategy for a constrained mapping when the number of PEs is fixed is given, achieving 100% processor utilization, and a systolic chip design which is capable of real-time video performance is proposed as the basic processing element. >
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.
