DocumentCode :
1777895
Title :
Quaternion Phase Congruency model for edge saliency map extraction and image blur measurement
Author :
Zihao Feng ; Yi Xu ; Xiaokang Yang
Author_Institution :
Shanghai Key Lab. of Digital Media Process. & Transm., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2014
fDate :
25-27 June 2014
Firstpage :
1
Lastpage :
6
Abstract :
Image edge detection is one of the most important foundations of image analysis and comprehension. Traditional edge detectors are not robust enough to illumination variations. In last decade, detector based on Phase Congruency (PC) model was proposed and invariant to illumination variations. In this paper, we introduce the quaternion Wavelet Transform to PC model and propose a new edge metric of quaternion Phase Congruency (QPC). QPC model overcomes one of the disadvantages of PC model. It is reliable to distinguish the significant skeleton structures from the relatively trivial texture structures. Experimental results show that our new model provides a more consistent edge saliency metric with human perception.
Keywords :
edge detection; feature extraction; image restoration; image texture; wavelet transforms; PC model; QPC model; edge detectors; edge metric; edge saliency map extraction; edge saliency metric; human perception; illumination variations; image blur measurement; image edge detection; phase congruency model; quaternion Wavelet Transform; quaternion phase congruency; quaternion phase congruency model; skeleton structures; trivial texture structures; Color; Educational institutions; Image edge detection; Kernel; Measurement; Noise; Quaternions; Phase Congruency; Quaternion Phase Congruency; Quaternion Wavelet Transform; edge saliency map;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Broadband Multimedia Systems and Broadcasting (BMSB), 2014 IEEE International Symposium on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/BMSB.2014.6873515
Filename :
6873515
Link To Document :
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