Back to articles
Articles
Volume: 25 | Article ID: art00030
Image
Evaluation of gradient operators for hyperspectral image processing
  DOI :  10.2352/ISSN.2169-2629.2017.25.182  Published OnlineSeptember 2017
Abstract

Gradient is an important image processing tool allowing to carry out edge detection, segmentation, and texture analysis. It is expected to provide significantly more accurate and complete information when combined with the hyperspectral imaging technology. And such gain in accuracy justifies the cost and complexity of a hyperspectral acquisition. But how to measure accuracy? This article presents our first study in the accuracy assessment of hyperspectral gradient, where an assessment protocol based on a basic edge detection task is proposed. This protocol is then used to evaluate the full-band gradient approaches, where the results suggest to improve the protocol to include more complexity.

Subject Areas :
Views 0
Downloads 0
 articleview.views 0
 articleview.downloads 0
  Cite this article 

Hilda Deborah, Noël Richard, Jon Y. Hardeberg, Christine Fernandez-Maloigne, "Evaluation of gradient operators for hyperspectral image processingin Proc. IS&T 25th Color and Imaging Conf.,  2017,  pp 182 - 187,  https://doi.org/10.2352/ISSN.2169-2629.2017.25.182

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2017
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society for Imaging Science and Technology