Curvelet Based Image fusion techniques for Medical Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 3
Abstract
Image fusion integrates multiple images of the same scene from multiple image sensor data. It has acquired an integral role in medical field. This paper introduces the various means image fusion based on transform domain image processing. Wavelet and Curvelet transform techniques are used for fusion of medical images scanned via different modalities. Each of the methods are evaluated under a performance evaluation criteria.
Authors and Affiliations
Deron Ray Rodrigues
Methods of Regular Expression
Regular expressions are used to represent certain set of string in algebraic manner. Regular expressions are widely used in the field of compiler design, text editor, search for an email- address, grep filter of unix, t...
Comparison Among Different Sorting Techniques
Ordering of data is very important. To understand any data it must be in ordered form, even computer cannot perform operations on randomly stored data. The process of ordering of data is known as sorting. There are vari...
A Query Search on Road Network by Integrating Social Network
Query search on road network by integration of social influence can be quite a challenging task wherein the result returned has to be an efficient one. To this we will be using the concept of knn search which returns wi...
Design and Development of GUI for Magnetic Suspension Reaction Wheel
This paper focuses on the design and development of a Graphical User Interface system (GUI) for the performance analysis of the Magnetic Suspension Reaction Wheel (MSRW) with four degrees of freedom. The GUI development...
Control of Brushless DC Motor Drive with BL Luo Converter using Sliding Mode Control
This paper proposes a Sliding Mode Control (SMC) for Luo Converter operated in Discontinuous Conduction Mode. Due to the time varying and switching nature of Luo converter, its dynamic behaviour becomes highly non-linea...