Tran, D.N. and Hussin, F.A. and Yusoff, M.Z. (2013) Optimization of blood vessel detection in retina images using multithreading and native code for portable devices. In: UNSPECIFIED.
Full text not available from this repository.Abstract
Due to the importance of blood vessel detection in many medical tools and the increasing demand for portable diagnosis equipment, fast blood vessel detection algorithm in a standalone and portable device is very important. The optimization of a computationally intensive algorithm such as this on a mobile platform is challenging due to the limited resources available. In this paper, the blood vessel detection system is implemented and optimized in a portable device running Android OS on an ARM-based processor. The performance of Java programming model and native programming model are compared with respect to the execution time for blood vessel detection. The experimental results show that the blood vessel detection system has worked well in the ARM platform with the Android OS. Moreover, native programming platform is faster than Java programming with 75.91 better in terms of execution time on average. With multithreading, the performance gain in native programming is 92.77 faster than Java programming. © 2013 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
---|---|
Additional Information: | cited By 1; Conference of 2013 IEEE 9th International Colloquium on Signal Processing and its Applications, CSPA 2013 ; Conference Date: 8 March 2013 Through 10 March 2013; Conference Code:98042 |
Uncontrolled Keywords: | Android; Blood vessel detection; Computationally intensive algorithms; Diagnosis equipment; Java programming; Native programming; Performance Gain; Pthreads, ARM processors; Computer programming; Embedded systems; Multitasking; Portable equipment; Robots; Signal processing, Optimization |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:51 |
Last Modified: | 09 Nov 2023 15:51 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/3526 |