TY - GEN
T1 - Comparison of image conversions between square structure and hexagonal structure
AU - He, Xiangjian
AU - Li, Jianmin
AU - Hintz, Tom
PY - 2007
Y1 - 2007
N2 - Hexagonal image structure is a relatively new and powerful approach to intelligent vision system. The geometrical arrangement of pixels in this structure can be described as a collection of hexagonal pixels. However, all the existing hardware for capturing image and for displaying image are produced based on rectangular architecture. Therefore, 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 after image conversion. In this paper, we present various algorithms for image conversion between the two image structures. The performance of these algorithms will be compared though experimental results.
AB - Hexagonal image structure is a relatively new and powerful approach to intelligent vision system. The geometrical arrangement of pixels in this structure can be described as a collection of hexagonal pixels. However, all the existing hardware for capturing image and for displaying image are produced based on rectangular architecture. Therefore, 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 after image conversion. In this paper, we present various algorithms for image conversion between the two image structures. The performance of these algorithms will be compared though experimental results.
UR - http://www.scopus.com/inward/record.url?scp=38149089454&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-74607-2_24
DO - 10.1007/978-3-540-74607-2_24
M3 - Conference contribution
AN - SCOPUS:38149089454
SN - 9783540746065
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 262
EP - 273
BT - Advanced Concepts for Intelligent Vision Systems - 9th International Conference, ACIVS 2007, Proceedings
PB - Springer Verlag
T2 - 9th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2007
Y2 - 28 August 2007 through 31 August 2007
ER -