Open AccessImplementation of Sobel filter using CUDA
Author(s) -
Akshita Akasapu,
V. Sailaja,
Ganesha Prasad
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1045/1/012016
Subject(s) - sobel operator , computer science , filter (signal processing) , cuda , column (typography) , computer vision , artificial intelligence , composite image filter , pixel , image (mathematics) , bilateral filter , enhanced data rates for gsm evolution , image processing , edge detection , computer graphics (images) , parallel computing , telecommunications , frame (networking)
The Sobel filter is an edge detection filter that results in highlighting and focusing the edges. It is used for extracting the image gradient and contours in image processing applications. The data sets we are using in the paper are PGM and TIFF images with different rows and column pixel dimensions. The sobel filter operations used are implemented in C and CUDA programming language and the time taken for the operations in the serial and parallel platforms respectively are analyzed.