Extended randomized hough transform for 2-D arbitrary shape recognition

• 主要作者: Lin, Yuan.
• 其他作者: Chutatape, Opas
• 格式: Theses and Dissertations
• 語言: English
• 出版: 2008
• 主題: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
• 在線閱讀: http://hdl.handle.net/10356/13205
• 機構: Nanyang Technological University

The extraction of arbitrary 2-D shapes according to specific templates is a very important operation for object recognition in digital image processing and computer vision fields. Because of its robustness to noises and discontinuity of feature points, Generalized Hough Transform (GHT) is a classi...