For many years the concept of using hexagonal pixelsfor image capture has been investigated, and severaladvantages of such an approach have been highlighted.Recently there has been a renewed interest in the use ofhexagonal images: biologically inspired approaches,representation of architectures for such images andgeneral hexagonal image processing. We present multiscalehexagonal gradient operators that are developedwithin the finite element framework for use directly onhexagonal pixel-based images. We evaluate the proposedoperators using simulated hexagonal images and provideperformance evaluation using the Figure of Merittechnique for comparison with existing hexagonal gradientoperators.
|Title of host publication||Unknown Host Publication|
|Number of pages||4|
|Publication status||Published - May 2009|
|Event||IAPR Conference on Machine Vision and Applications (MVA 2009) - Yokohama, Japan|
Duration: 1 May 2009 → …
|Conference||IAPR Conference on Machine Vision and Applications (MVA 2009)|
|Period||1/05/09 → …|