Phase congruency analysis of down-sampled and blurring images for foreground extraction

Wei GAO; Sam KWONG; Yu ZHOU; Xu WANG

doi:10.1109/ICWAPR.2015.7295942

Phase congruency analysis of down-sampled and blurring images for foreground extraction

Wei GAO, Sam KWONG, Yu ZHOU, Xu WANG

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

3 Citations (Scopus)

Abstract

In this paper, phase congruency (PC) features for different down-sampled and Gaussian blurred images are presented and analyzed. The detailed textures in the background can be suppressed in the PC maps for the down-sampled and blurring images. As the down-sampling ratio increases, the detailed edges and complex textures in the background can be effectively suppressed. For the blurring images, the PC metric shows a good robustness for the highly down-sampled images. Experimental results show that the proposed down-sampling method can effectively suppress the background textures than the traditional PC approach for edge detection for both the normal and blurring images, which can be very useful for the foreground extraction and background modeling problems.

Original language	English
Title of host publication	Proceedings of 2015 International Conference on Wavelet Analysis and Pattern Recognition
Publisher	IEEE
Pages	152-157
Number of pages	6
ISBN (Electronic)	9781467372244
DOIs	https://doi.org/10.1109/ICWAPR.2015.7295942
Publication status	Published - 2015
Externally published	Yes
Event	2015 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) - Holiday Inn Guangzhou Shifu, Guangzhou, China Duration: 12 Jul 2015 → 15 Jul 2015

Conference

Conference	2015 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)
Country/Territory	China
City	Guangzhou
Period	12/07/15 → 15/07/15

Keywords

Background modeling
Burring images
Down-sampling
Edge detection
Foreground extraction
Phase congruency

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10.1109/ICWAPR.2015.7295942

Cite this

@inproceedings{2fadba1b00f946659444df31678c4b39,

title = "Phase congruency analysis of down-sampled and blurring images for foreground extraction",

abstract = "In this paper, phase congruency (PC) features for different down-sampled and Gaussian blurred images are presented and analyzed. The detailed textures in the background can be suppressed in the PC maps for the down-sampled and blurring images. As the down-sampling ratio increases, the detailed edges and complex textures in the background can be effectively suppressed. For the blurring images, the PC metric shows a good robustness for the highly down-sampled images. Experimental results show that the proposed down-sampling method can effectively suppress the background textures than the traditional PC approach for edge detection for both the normal and blurring images, which can be very useful for the foreground extraction and background modeling problems.",

keywords = "Background modeling, Burring images, Down-sampling, Edge detection, Foreground extraction, Phase congruency",

author = "Wei GAO and Sam KWONG and Yu ZHOU and Xu WANG",

year = "2015",

doi = "10.1109/ICWAPR.2015.7295942",

language = "English",

pages = "152--157",

booktitle = "Proceedings of 2015 International Conference on Wavelet Analysis and Pattern Recognition",

publisher = "IEEE",

note = "2015 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) ; Conference date: 12-07-2015 Through 15-07-2015",

}

GAO, W, KWONG, S, ZHOU, Y & WANG, X 2015, Phase congruency analysis of down-sampled and blurring images for foreground extraction. in Proceedings of 2015 International Conference on Wavelet Analysis and Pattern Recognition. IEEE, pp. 152-157, 2015 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), Guangzhou, China, 12/07/15. https://doi.org/10.1109/ICWAPR.2015.7295942

TY - GEN

T1 - Phase congruency analysis of down-sampled and blurring images for foreground extraction

AU - GAO, Wei

AU - KWONG, Sam

AU - ZHOU, Yu

AU - WANG, Xu

PY - 2015

Y1 - 2015

N2 - In this paper, phase congruency (PC) features for different down-sampled and Gaussian blurred images are presented and analyzed. The detailed textures in the background can be suppressed in the PC maps for the down-sampled and blurring images. As the down-sampling ratio increases, the detailed edges and complex textures in the background can be effectively suppressed. For the blurring images, the PC metric shows a good robustness for the highly down-sampled images. Experimental results show that the proposed down-sampling method can effectively suppress the background textures than the traditional PC approach for edge detection for both the normal and blurring images, which can be very useful for the foreground extraction and background modeling problems.

AB - In this paper, phase congruency (PC) features for different down-sampled and Gaussian blurred images are presented and analyzed. The detailed textures in the background can be suppressed in the PC maps for the down-sampled and blurring images. As the down-sampling ratio increases, the detailed edges and complex textures in the background can be effectively suppressed. For the blurring images, the PC metric shows a good robustness for the highly down-sampled images. Experimental results show that the proposed down-sampling method can effectively suppress the background textures than the traditional PC approach for edge detection for both the normal and blurring images, which can be very useful for the foreground extraction and background modeling problems.

KW - Background modeling

KW - Burring images

KW - Down-sampling

KW - Edge detection

KW - Foreground extraction

KW - Phase congruency

UR - http://www.scopus.com/inward/record.url?scp=84953874495&partnerID=8YFLogxK

U2 - 10.1109/ICWAPR.2015.7295942

DO - 10.1109/ICWAPR.2015.7295942

M3 - Conference paper (refereed)

SP - 152

EP - 157

BT - Proceedings of 2015 International Conference on Wavelet Analysis and Pattern Recognition

PB - IEEE

T2 - 2015 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

Y2 - 12 July 2015 through 15 July 2015

ER -

Phase congruency analysis of down-sampled and blurring images for foreground extraction

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Keywords

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