Comparing Hexagonal Image Resampling Techniques with Respect to Feature Extraction

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Abstract

The hexagonal structure is considered to be preferable to the standard rectangular structure typically used for images in terms of the improved accuracy and efficiency that can be achieved for a number of image processing tasks. However, due to the lack of commercially available hexagonal image sensors, hexagonally structured images are generated by resampling from standard rectangular images and hence many resampling techniques exist for this purpose. Here we consider four such resampling techniques and apply recently developed scalable operators to them for the purpose of feature extraction. Each hexagonally structure image is evaluated with respect to feature extraction performance and we provide conclusions on the most accurate resampling technique currently available.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherCambridge Scholars Publishing
Pages102-115
Number of pages13
ISBN (Print)1-4438-2962-5
Publication statusPublished - 1 Jul 2011
Event14th International Machine Vision and Image Processing Conference - University of Limerick, Ireland
Duration: 1 Jul 2011 → …

Conference

Conference14th International Machine Vision and Image Processing Conference
Period1/07/11 → …

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  • Cite this

    Gardiner, B., Coleman, SA., & Scotney, BW. (2011). Comparing Hexagonal Image Resampling Techniques with Respect to Feature Extraction. In Unknown Host Publication (pp. 102-115). Cambridge Scholars Publishing.