Parallel Implementation of Bias Field Correction Fuzzy C-Means Algorithm for Image Segmentation
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 3
Abstract
Image segmentation in the medical field is one of the most important phases to diseases diagnosis. The bias field estimation algorithm is the most interesting techniques to correct the in-homogeneity intensity artifact on the image. However, the use of such technique requires a powerful processing and quite expensive for big size as medical images. Hence the idea of parallelism becomes increasingly required. Several researchers have followed this path mainly in the bioinformatics field where they have suggested different algorithms implementations. In this paper, a novel Single Instruction Multiple Data (SIMD) architecture for bias field estimation and image segmentation algorithm is proposed. In order to accelerate compute-intensive portions of the sequential implementation, we have implemented this algorithm on three different graphics processing units (GPU) cards named GT740m, GTX760 and GTX580 respectively, using Compute Unified Device Architecture (CUDA) software programming tool. Numerical obtained results for the computation speed up, allowed us to conclude on the suitable GPU architecture for this kind of applications and closest ones.
Authors and Affiliations
Nouredine AITALI, Bouchaib CHERRADI, Ahmed EL ABBASSI, Omar BOUATTANE, Mohamed YOUSSFI
Keywords
Related Articles
- EP ID EP159325
- DOI 10.14569/IJACSA.2016.070352
- Views 89
- Downloads 0
Prioritizing Test Cases Using Business CriticalityTest Value
Software maintenance is an important and costly activity of the software development lifecycle. Regression testing is the process of validating modifications introduced in a system during software maintenance. It i...
A Review of Data Synchronization and Consistency Frameworks for Mobile Cloud Applications
Mobile devices are rapidly becoming the predom-inant means of accessing the Internet due to advances in wireless communication techniques. The development of Mobile applications (“apps”) for various platforms is on the r...
Dual-Cross-Polarized Antenna Decoupling for 43 GHz Planar Massive MIMO in Full Duplex Single Channel Communications
Massive Multiple Input Multiple Output (MIMO) and Full Duplex Single Channel (FDSC) at mm-Wave are key technology of future advanced wireless communications. Self-interference is the main problem in this technique becaus...
Conceptual Model for WWBAN (Wearable Wireless Body Area Network)
Modern world advances in sensors miniaturization and wireless networking which enables exploiting wireless sensor networking to monitor and control the environment. Human health monitoring is promising applications of se...
Design of Miniaturized Multiband Microstrip Patch Antenna using Defected Ground Structure
The recent developments in communication and antenna engineering demands compact and multiband antennas. Microstrip antenna is one of the most useful antennas for wireless communication because of its inherent features l...