Medical Image Retrieval based on the Parallelization of the Cluster Sampling Algorithm
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 4
Abstract
Cluster sampling algorithm is a scheme for sequential data assimilation developed to handle general non-Gaussian and nonlinear settings. The cluster sampling algorithm can be used to solve a wide spectrum of problems that requires data inversion such as image retrieval, tomography, weather prediction amongst others. This paper develops parallel cluster sampling algorithms, and show that a multi-chain version is embarrassingly parallel, and can be used efficiently for medical image retrieval amongst other applications. Moreover, it presents a detailed complexity analysis of the proposed parallel cluster samplings scheme and discuss their limitations. Numerical experiments are carried out using a synthetic one dimensional example, and a medical image retrieval problem. The experimental results show the accuracy of the cluster sampling algorithm to retrieve the original image from noisy measurements, and uncertain priors. Specifically, the proposed parallel algorithm increases the acceptance rate of the sampler from 45% to 81% with Gaussian proposal kernel, and achieves an improvement of 29% over the optimally-tuned Tikhonov-based solution for image retrieval. The parallel nature of the proposed algorithm makes the it a strong candidate for practical and large scale applications.
Authors and Affiliations
Hesham Arafat Ali, Salah Attiya, Ibrahim El-henawy
Keywords
Related Articles
- EP ID EP258404
- DOI 10.14569/IJACSA.2017.080466
- Views 128
- Downloads 0
Telugu Bigram Splitting using Consonant-based and Phrase-based Splitting
Splitting is a conventional process in most of Indian languages according to their grammar rules. It is called ‘pada vicchEdanam’ (a Sanskrit term for word splitting) and is widely used by most of the Indian languages. S...
Object Conveyance Algorithm for Multiple Mobile Robots based on Object Shape and Size
This paper describes a determination method of a number of a team for multiple mobile robot object conveyance. The number of robot on multiple mobile robot systems is the factor of complexity on robots formation and moti...
Brain-Controlled for Changing Modular Robot Configuration by Employing Neurosky’s Headset
Currently, the Brain Computer Interfaces (BCI) system was designed mostly to be implemented for control purpose or navigation which are mostly being employed for mobile robot, manipulator robot and humanoid robot by usin...
A Multi-Criteria Decision Method in the DBSCAN Algorithm for Better Clustering
This paper presents a solution based on the unsupervised classification for the multiple-criteria analysis problems of data, where the characteristics and the number of clusters are not predefined, and the objects of dat...
Computer Simulation Study: An Impact of Roadside Illegal Parking at Signalised Intersection
Traffic congestion could be a serious road traffic problem particularly at intersections because of its potential impact on the risk of accidents, vehicle delays and exhaust emissions. In addition, illegal parking by roa...