A Fixed-Point EM Algorithm for Straight Line Detection

被引：0
|
作者：
Fang, Chonglun [1 ,2 ]
Ma, Jinwen [1 ,2 ]
机构：
[1] Peking Univ, Dept Informat Sci, Sch Math Sci, Beijing 100871, Peoples R China
[2] Peking Univ, LMAM, Beijing 100871, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT II | 2011年 / 6676卷
关键词：
Straight line detection; Expectation Maximization (EM); Fixed-Point iteration; HARMONY LEARNING ALGORITHM; AUTOMATED MODEL SELECTION; CURVE DETECTION; GAUSSIAN MIXTURE; HOUGH TRANSFORM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Straight line detection is a basic technique in image processing and pattern recognition. It has been investigated from different aspects, but is still very challenging in practical applications. In this paper; based on the finite mixture model and under the EM framework, we maximize the Q-function by differentiation and construct a fixed-point EM algorithm for straight line detection. It is demonstrated by the experiments that this proposed algorithm can effectively detect the straight lines from a digital image or dataset.
引用
收藏
页码：136 / +
页数：3
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