Open AccessBACK TO BASICS: TOWARDS NOVEL COMPUTATION AND ARRANGEMENT OF SPATIAL SENSORY IN IMAGES
Author(s) -
WenCheng J. Wei,
Siamak Khatibi
Publication year - 2016
Publication title -
acta polytechnica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.207
H-Index - 15
eISSN - 1805-2363
pISSN - 1210-2709
DOI - 10.14311/ap.2016.56.0409
Subject(s) - computer vision , computer science , artificial intelligence , hexagonal crystal system , image processing , curvature , computation , image sensor , image resolution , hexagonal tiling , square (algebra) , pixel , process (computing) , grid , orbit (dynamics) , computer graphics (images) , image (mathematics) , mathematics , algorithm , geometry , engineering , chemistry , crystallography , operating system , aerospace engineering
The current camera has made a huge progress in the sensor resolution and the lowluminance performance. However, we are still far from having an optimal camera as powerful as our eye is. The study of the evolution process of our visual system indicates attention to two major issues: the form and the density of the sensor. High contrast and optimal sampling properties of our visual spatial arrangement are related directly to the densely hexagonal form. In this paper, we propose a novel software-based method to create images on a compact dense hexagonal grid, derived from a simulated square sensor array by a virtual increase of the fill factor and a half a pixel shifting. After that, the orbit functions are proposed for a hexagonal image processing. The results show it is possible to achieve an image processing in the orbit domain and the generated hexagonal images are superior, in detection of curvature edges, to the square images. We believe that the orbit domain image processing has a great potential to be the standard processing for hexagonal images.