Design and implementation of a parallel object-oriented image processing toolkit

Chandrika Kamath; Chuck H. Baldwin; Imola K. Fodor; Nu Ai Tang

doi:10.1117/12.403590

9 October 2000 Design and implementation of a parallel object-oriented image processing toolkit

Chandrika Kamath, Chuck H. Baldwin, Imola K. Fodor, Nu Ai Tang

Proceedings Volume 4118, Parallel and Distributed Methods for Image Processing IV; (2000) https://doi.org/10.1117/12.403590
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Advances in technology have enabled us to collect data from observations, experiments, and simulations at an ever increasing pace. As these data sets approach the terabyte and petabyte range, scientists are increasingly using semi-automated techniques from data mining and pattern recognition to find useful information in the data. In order for data mining to be successful, the raw data must first be processed into a form suitable for the detection of patterns. When the data is in the form of images, this can involve a substantial amount of processing on very large data sets. To help make this task more efficient, we are designing and implementing an object-oriented image processing toolkit that specifically targets massively-parallel, distributed-memory architectures. We first show that it is possible to use object-oriented technology to effectively address the diverse needs of image applications. Next, we describe how we abstract out the similarities in image processing algorithms to enable re-use in our software. We will also discuss the difficulties encountered in parallelizing image algorithms on the massively parallel machines as well as the bottlenecks to high performance. We will demonstrate our work using images from an astronomical data set, and illustrate how techniques such as filters and denoising through the thresholding of wavelet coefficients can be applied when a large image is distributed across several processors.

Citation Download Citation

Chandrika Kamath, Chuck H. Baldwin, Imola K. Fodor, and Nu Ai Tang "Design and implementation of a parallel object-oriented image processing toolkit", Proc. SPIE 4118, Parallel and Distributed Methods for Image Processing IV, (9 October 2000); https://doi.org/10.1117/12.403590

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available