A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Detecting partially occluded ellipses using the Hough transform
Image and Vision Computing - 4th Alvey Vision Meeting
A Method to Detect and Characterize Ellipses Using the Hough Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
Randomized or probabilistic Hough transform: unified performance evaluation
Pattern Recognition Letters - Selected papers from the 11th scandinavian conference on image analysis
The Hough Transform without the Accumulators
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
3D reconstruction and enrichment of broadcast soccer video
Proceedings of the 12th annual ACM international conference on Multimedia
A fast and robust ellipse detection algorithm based on pseudo-random sample consensus
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Lift-button detection and recognition for service robot in buildings
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
| Hi-index | 0.00 |
The ellipse Hough transform (EHT) is a widely-used technique. Most of the previous modifications to the standard EHT improved either the voting procedure that computes the absolute measure function (AMF) or the peak detection of the AMF. However, existing EHTs are not robust for detecting partial slightly-oblique ellipses. This paper presents a Robust and Accumulator-Free Ellipse Hough Transform (RAF-EHT), an improved EHT that is robust even for partial slightly-oblique ellipses. Our RAF-EHT is based on two main ideas, namely, (1) an improved measure function (IMF) for handling the partiality and the obliqueness of ellipses, (2) a new accumulator-free computation scheme for finding the top k peaks of the IMF, without complex peak detection. Experimental results show that the RAF-EHT is more robust than the existing EHTs in detecting the partial slightly-oblique ellipses. In addition, the RAF-EHT needs only a little memory because it is accumulator-free.