Title :
A GPU-Accelerated GVF Snake Algorithm
Author :
Zheng, Zuoyong ; Zhang, Ruixia
Author_Institution :
Dept. of Inf. Eng., North China Univ. of Water Res. & Electr. Power, Zhengzhou, China
Abstract :
GVF Snake is one of the most widely-used edge detection algorithms, nevertheless subject to its slow computation. This paper reveals the bottleneck, and transfers the time-consuming part of this algorithm to the GPU for better performance. With the help of powerful parallel computing ability of the GPU, our improved algorithm could be as about 5 times fast as is executed on the CPU.
Keywords :
computer graphic equipment; coprocessors; edge detection; parallel processing; vectors; GPU algorithm; GPU-accelerated GVF snake algorithm; edge detection algorithm; parallel computing ability; time-consuming part; Equations; Force; Graphics processing unit; Image edge detection; Mathematical model; Rendering (computer graphics); Three dimensional displays; GPU; GVF; Snake; fragment shader;
Conference_Titel :
Digital Media and Digital Content Management (DMDCM), 2011 Workshop on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-0271-6
Electronic_ISBN :
978-0-7695-4413-7
DOI :
10.1109/DMDCM.2011.51
