Polygon Detection Method by Direction Clustering Based on the Peeling Technique
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2019, Vol 21, Issue 1
Abstract
In this paper, we propose a fast real time clustering method and an algorithm for detecting polygon lines and their orientations. The content is presented in two parts. In part I, a new clustering method based on density peeling technique is proposed, which sets up the basis of objects features clustering; in part II, a new polygon detection method is proposed based on the peeling technique and a statistical histogram of directions of pixels of the polygon lines; the effective pixels, which contributes to the orientations and positions of polygon lines, are extracted as soon as the polygon shape is obtained. The methods proposed in these two parts are based on the principle that iterative searching and comparisons should be maximally avoided and thus are fast algorithms suitable for real time application, especially for embedded systems.
Authors and Affiliations
Mengxi Tan
Keywords
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- EP ID EP444242
- DOI 10.9790/0661-2101017485.
- Views 111
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