Computational Efficiency Optimization of Optic Disc Detection in Fundus Image

The OD detection is a mainly step in many methods for ophthalmic diseases diagnosis. The work described in [7] proposes a performance optic disk detection approach based on blood vessel tracking and optic disk contrast. However, the method is characterized by a higher execution time which is about 10 s in STARE DB images. M oreover, the execution time increases proportionally with the fundus image resolution. This computational performance is a limiting factor to employ the method in diagnosis systems of ophthalmic diseases. This paper aims to optimize the method processing in order to enhance the computational performance. The first contribution consists of optimizing repet itive steps with the aim of reducing times. Thereafter, all processing steps are implemented in GPU architectures. The experimental results indicat e that each one of the contributions insures enhancing computational performance with speedup equal to 1.7 and 2.5, respectively. The implementation with combined contributions leads to a speedup equal to 8.6 which leads to an execution time about 1 second.