教師資料查詢 | 類別: 期刊論文 | 教師: 洪文斌 Horng Wen-bing (瀏覽個人網頁)

標題:Optimizing Region of Support for Boundary-Based Corner Detection: A Statistic Approach
學年98
學期1
出版(發表)日期2009/10/01
作品名稱Optimizing Region of Support for Boundary-Based Corner Detection: A Statistic Approach
作品名稱(其他語言)
著者Horng, Wen-Bing; Chen, Chun-Wen
單位淡江大學資訊工程學系
出版者Tokyo: Denshi Jouhou Tsuushin Gakkai
著錄名稱、卷期、頁數IEICE Transactions on Information and Systems E92-D(10), pp.2103-2111
摘要Boundary-based corner detection has been widely applied in spline curve fitting, automated optical inspection, image segmentation, object recognition, etc. In order to obtain good results, users usually need to adjust the length of region of support to resist zigzags due to quantization and random noise on digital boundaries. To automatically determine the length of region of support for corner detection, Teh-Chin and Guru-Dinesh presented adaptive approaches based on some local properties of boundary points. However, these local-property based approaches are sensitive to noise. In this paper, we propose a new approach to find the optimum length of region of support for corner detection based on a statistic discriminant criterion. Since our approach is based on the global perspective of all boundary points, rather than the local properties of some points, the experiments show that the determined length of region of support increases as the noise intensity strengthens. In addition, the detected corners based on the optimum length of region of support are consistent with human experts' judgment, even for noisy boundaries.
關鍵字Corner detection; Discriminant criterion; Optimization; Region of support; Variance analysis
語言英文
ISSN0916-8532
期刊性質國外
收錄於SCI;EI
產學合作
通訊作者Horng, Wen-Bing
審稿制度
國別日本
公開徵稿
出版型式紙本
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