Extended randomized hough transform for 2-D arbitrary shape recognition
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...
Main Author: | Lin, Yuan. |
---|---|
Other Authors: | Chutatape, Opas |
Format: | Thesis |
Language: | English |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/13205 |
Similar Items
-
Straight line detection using a modified hough transform
by: Guo, Lin Feng.
Published: (2010) -
Compression techniques for arbitrary support shape
by: Ng, Wee Kok.
Published: (2008) -
Propagative Hough voting for human activity recognition
by: Yu, Gang, et al.
Published: (2013) -
VLSI efficient RNS scalers and arbitrary modulus residue generators
by: Low, Jeremy Yung Shern
Published: (2014) -
Signal recovery from random measurements via extended orthogonal matching pursuit
by: Sahoo, Sujit Kumar, et al.
Published: (2015)