Abstract:
Hexagonal structure is another image structure
alternative to traditional square image structure for
image processing and computer vision. The
geometrical arrangement of pixels on a hexagonal
structure can be described as a collection of hexagonal
pixels. Because all the existing hardware for capturing
image and for displaying image are produced based on
square structure, it becomes important to find a proper
software approach to mimic hexagonal structure so
that images represented on the traditional square
structure can be smoothly converted from or to the
images on hexagonal structure. For accurate image
processing, it is critical to best maintain the image
resolution during the image conversion. In this paper,
a bilinear interpolation algorithm that is used to
convert an image from square structure to hexagonal
structure is presented. Based on this, an edge detection
method is proposed. Our experimental results show
that the bilinear interpolation improves the edge
detection accuracy.
