Fast Transformations on Virtual Hexagonal Structure

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Title:	Fast Transformations on Virtual Hexagonal Structure
Authors:	Chu Hung-Mao
Contributors:	Department of Computer Science and Information Engineering
Keywords:	Computer Vision;Computer Graphics;Hexagonal Structure;Sub-Pixel;Virtual Hexagonal Structure
Date:	2008
Issue Date:	2009-11-18 13:14:31 (UTC+0)
Publisher:	Asia University
Abstract:	Image processing technologies has been developed for several decades. In many researches, it is found that digital images expressed by hexagonal structure is more close to real image than the images expressed by traditional square structure. It not only provides more exciting human being vision impression but also increases the identification rate of computer vision. But it is difficult to find a hexagonal structure monitor now and the difficulty makes it not easy to build a research environment for the study of hexagonal structure. The paper proposes a method to simulate a hexagonal structure image in a traditional square monitor fast and with a little memory, and can execute the transformation between square structure images and simulated hexagonal structure images. The research is expected to speed up the related studies about hexagonal structure. The transformation from a square monitor to a hexagonal monitor is necessary for the future technologies covered by hexagonal monitors. The study transforms a square monitor to a hexagonal monitor by enlarging an image without changing the other hardware except for changing the hexagonal monitor. A hexagonal structure has a feature that keeps an image without distortion for every 60 degrees rotation. But there must be a space to accommodate a hexagonal structure image for each image rotation. The study uses data induction to calculate the necessary space for accommodating the image without distortion obtained in every 60 degrees rotation and solves the problem of space needed for 60 degrees rotation without distortion successfully.
Appears in Collections:	[Department of Computer Science and Information Engineering] Theses & dissertations

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