TY - GEN
T1 - An approach to edge detection on a virtual hexagonal structure
AU - He, Xiangjian
AU - Jia, Wenjing
AU - Li, Jianmin
AU - Wu, Qiang
AU - Hintz, Tom
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=44949204759&partnerID=8YFLogxK
U2 - 10.1109/DICTA.2007.4426816
DO - 10.1109/DICTA.2007.4426816
M3 - Conference contribution
AN - SCOPUS:44949204759
SN - 0769530672
SN - 9780769530673
T3 - Proceedings - Digital Image Computing Techniques and Applications: 9th Biennial Conference of the Australian Pattern Recognition Society, DICTA 2007
SP - 340
EP - 345
BT - Proceedings - Digital Image Computing Techniques and Applications
T2 - Australian Pattern Recognition Society (APRS)
Y2 - 3 December 2007 through 5 December 2007
ER -