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Proceedings Paper

Developing Matlab scripts for image analysis and quality assessment
Author(s): A. D. Vaiopoulos
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Paper Abstract

Image processing is a very helpful tool in many fields of modern sciences that involve digital imaging examination and interpretation. Processed images however, often need to be correlated with the original image, in order to ensure that the resulting image fulfills its purpose. Aside from the visual examination, which is mandatory, image quality indices (such as correlation coefficient, entropy and others) are very useful, when deciding which processed image is the most satisfactory. For this reason, a single program (script) was written in Matlab language, which automatically calculates eight indices by utilizing eight respective functions (independent function scripts). The program was tested in both fused hyperspectral (Hyperion-ALI) and multispectral (ALI, Landsat) imagery and proved to be efficient. Indices were found to be in agreement with visual examination and statistical observations.

Paper Details

Date Published: 26 October 2011
PDF: 12 pages
Proc. SPIE 8181, Earth Resources and Environmental Remote Sensing/GIS Applications II, 81810B (26 October 2011); doi: 10.1117/12.897806
Show Author Affiliations
A. D. Vaiopoulos, Univ. of Athens (Greece)

Published in SPIE Proceedings Vol. 8181:
Earth Resources and Environmental Remote Sensing/GIS Applications II
Ulrich Michel; Daniel L. Civco, Editor(s)

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