Year: 2016
Type: conference-paper
Abstract: 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.
Authors: Kamran Shamim, Muhammad Ismail, Saad Khan
Institution: NED University of Engineering and Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2298850950