Open access peer-reviewed chapter

The Impact of the Data Archiving File Format on Scientific Computing and Performance of Image Processing Algorithms in MATLAB Using Large HDF5 and XML Multimodal and Hyperspectral Data Sets

By Kelly Bennett and James Robertson

Submitted: November 3rd 2010Reviewed: April 8th 2011Published: October 13th 2011

DOI: 10.5772/19410

Downloaded: 2772

© 2011 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Kelly Bennett and James Robertson (October 13th 2011). The Impact of the Data Archiving File Format on Scientific Computing and Performance of Image Processing Algorithms in MATLAB Using Large HDF5 and XML Multimodal and Hyperspectral Data Sets, MATLAB Clara Ionescu, IntechOpen, DOI: 10.5772/19410. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="http://www.intechopen.com/embed/matlab-a-ubiquitous-tool-for-the-practical-engineer/the-impact-of-the-data-archiving-file-format-on-scientific-computing-and-performance-of-image-proces" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

2772total chapter downloads

1Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Energy Management in Buildings Using MATLAB

By Shahram Javadi

Related Book

First chapter

Monte Carlo Simulations in NDT

By Frank Sukowski and Norman Uhlmann

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us