Algorithmic Analysis of Edge Ranking and Profiling for MTF Determination of an Imaging System

International Journal of Computer Trends and Technology (IJCTT)          
© 2015 by IJCTT Journal
Volume-23 Number-1
Year of Publication : 2015
Authors : Poorna Banerjee Dasgupta
DOI :  10.14445/22312803/IJCTT-V23P110


Poorna Banerjee Dasgupta "Algorithmic Analysis of Edge Ranking and Profiling for MTF Determination of an Imaging System". International Journal of Computer Trends and Technology (IJCTT) V23(1):46-48, May 2015. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Edge detection is one of the most principal techniques for detecting discontinuities in the gray levels of image pixels. The Modulation Transfer Function (MTF) is one of the main criteria for assessing imaging quality and is a parameter frequently used for measuring the sharpness of an imaging system. In order to determine the MTF, it is essential to determine the best edge from the target image so that an edge profile can be developed and then the line spread function and hence the MTF, can be computed accordingly. For regular image sizes, the human visual system is adept enough to identify suitable edges from the image. But considering huge image datasets, such as those obtained from satellites, the image size may range in few gigabytes and in such a case, manual inspection of images for determination of the best suitable edge is not plausible and hence, edge profiling tasks have to be automated. This paper presents a novel, yet simple, algorithm for edge ranking and detection from image data-sets for MTF computation, which is ideal for automation on vectorised graphical processing units.

[1] Rafael C. Gonzalez, Richard E. Woods. "Digital Image Processing". 3rd Edition, Prentice Hall Publications, 2009.
[2] Jean-Marc DELVIT, Dominique LEGER, Sylvie ROQUES, Christophe VALORGE. "Modulation Transfer Function Measurement Using Non Specific Views". Image and Signal Processing for Remote Sensing, Proceedings of SPIE, Vol. 4885, 2003.
[3] Mattia Crespi , Laura De Vendictis. "A Procedure for High Resolution Satellite Imagery Quality Assessment". Open Access Sensors Journal, 2009.
[4] Zhe Fan, Feng Qiu, Arie Kaufman, Suzanne Yoakum-Stover. "GPU Cluster for High Performance Computing". ACM/IEEE Supercomputing Conference 2004, November 06-12, Pittsburgh, PA.
[5] Nicolas Seiller. "Architectures for Spatially distributed Data". NATO ASI Proceedings, Centraro Holly, Italy, 1985.
[6] NVIDIA CUDA C Programming Guide, version 7.0, NVIDIA Corp, 2015.
[7] Devendra Kurwe, Anjna Jayant Deen, Rajeev Pandey.”A Hybrid Approach for content based image retrieval from large Dataset”. International Journal of Computer Trends and Technology, Vol 23-1, 2015.

Edge, Image, Modulation Transfer Function (MTF).