Parallel Implementation of Morphological Image Processing Algorithm for GPGPU
Kamran Shamim, Muhammad Ismail, Saad Khan
Available Online November 2015.
- https://doi.org/10.2991/racs-15.2016.22How to use a DOI?
- Morphology, Errosion, Dilation, GPGPU, CUDA , Parallel Programming
- Morphological Image Processing also known as Morphology is used as a tool for extracting image components that are useful in the representation and description of region such as shape, boundaries, skeleton etc. Morphological techniques are also used for pre- and post-processing of given data for morphological filtering, noise removal, thinning, pruning and edge detection. In this paper a parallel implementation of morphological algorithm for GPGPU is presented. The presented implementation identifies the unbroken pills and remove noise from the image in parallel. The result obtained shows the speedup of almost 85 for erosion operation and around 70 for dilation operations on GPGPU.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Kamran Shamim AU - Muhammad Ismail AU - Saad Khan PY - 2015/11 DA - 2015/11 TI - Parallel Implementation of Morphological Image Processing Algorithm for GPGPU PB - Atlantis Press SP - 130 EP - 134 SN - 2352-538X UR - https://doi.org/10.2991/racs-15.2016.22 DO - https://doi.org/10.2991/racs-15.2016.22 ID - Shamim2015/11 ER -