Video object segmentation based on MRF model using wavelet transform

Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (19): 196-199.

• 图形、图像、模式识别 • Previous Articles Next Articles

Video object segmentation based on MRF model using wavelet transform

XIE Lei,LI Mei,GAO Zhi-yong,LIU Hai-hua

College of Electronic and Information Engineering，South-Central University for Nationalities，Wuhan 430074，China

Received:2007-09-27 Revised:2007-12-11 Online:2008-07-01 Published:2008-07-01
Contact: XIE Lei

一种基于小波变换的马尔可夫随机场的视频对象分割

谢磊,李梅,高智勇,刘海华

中南民族大学电子信息工程学院，武汉 430074

通讯作者: 谢磊

Abstract

Abstract: Markov Random Field（MRF） theory has widely been applied to segmentation in video images.In this paper，a video object segmentation algorithm based on Markov Random Field using wavelet transform is proposed.After constructing the image pyramid by wavelet transform，energy function of MRF model is defined.The authors solve the superior solution of energy function by reiteration，get a label field，and then extract the moving object.Experimental results are provided using trevor and miss american image sequences.The results show that the proposed algorithm can restrain noise effectively and extract the moving object exactly.

Key words: Markov Random Field（MRF）, wavelet transform, video object segmentation

摘要： 马尔可夫随机场（Markov Random Field，MRF）理论已经被广泛地应用于视频图像的分割。提出一种基于小波变换的马尔可夫随机场模型的视频对象分割算法。该算法利用小波变换将图像序列分解到小波域，并在此基础上建立马尔可夫随机场模型，构造相应的能量函数。通过迭代求解能量函数的最优解，得出标记场，提取出运动对象。仿真结果表明，该算法能够有效地抑制噪声，提高构成对象边界像素的数量，快速有效地提取出视频对象。

关键词: 马尔可夫随机场, 小波变换, 视频图像分割

XIE Lei,LI Mei,GAO Zhi-yong,LIU Hai-hua. Video object segmentation based on MRF model using wavelet transform[J]. Computer Engineering and Applications, 2008, 44(19): 196-199.

谢磊,李梅,高智勇,刘海华. 一种基于小波变换的马尔可夫随机场的视频对象分割[J]. 计算机工程与应用, 2008, 44(19): 196-199.

[1]	DU Xiuli, MA Zhenqian, QIU Shaoming, LYU Yana. Recognition of Motor Imaging EEG Signals Based on Convolution Attention Mechanism [J]. Computer Engineering and Applications, 2021, 57(18): 181-185.
[2]	FAN Wenbing, SUN Zhiyuan. SAR Image Segmentation Algorithm Based on Generalized Gauss Distribution in Wavelet Domain [J]. Computer Engineering and Applications, 2020, 56(5): 222-226.
[3]	CAO Jun, CHEN He, ZHANG Jiawei. Research on Multi-Focus Image Fusion Algorithm Based on Super Resolution [J]. Computer Engineering and Applications, 2020, 56(3): 180-186.
[4]	GONG Rui, WANG Xiaochun. Multi-Focus Image Fusion Method Based on C-EWT [J]. Computer Engineering and Applications, 2020, 56(2): 201-210.
[5]	GU Tingting, LIU Xinhui, SANG Qingbing, LI Chaofeng. No-Reference Image Quality Assessment Algorithm for Stereoscopic Images via Dual-Tree Complex Wavelet Transform [J]. Computer Engineering and Applications, 2019, 55(2): 154-161.
[6]	YANG Xia, ZHU Xiaodong, LIU Yuanning, FENG Jiakai, LIU Shuai. Iris Recognition Method Based on Block Wavelet Feature Combined with BP Neural Network [J]. Computer Engineering and Applications, 2019, 55(18): 132-139.
[7]	XIAO Wenqing1,3, WANG Honghao2, ZHAN Chang’an1. Wavelet Coefficient Feature Fusion Based Classification of Mice Epileptic EEG [J]. Computer Engineering and Applications, 2019, 55(14): 155-161.
[8]	XIE Guobo, WU Zhenyu. Chaotic Image Encryption Algorithm Based on Wavelet Transform and Gravity Model [J]. Computer Engineering and Applications, 2019, 55(13): 100-105.
[9]	YAN Hongwen, LU Geyu. Application research on complete ensemble empirical mode decomposition, wavelet transform and convolutional neural networks in short-term wind speed forecasting [J]. Computer Engineering and Applications, 2018, 54(9): 224-230.
[10]	ZHANG Zhiyu1, LI Xiangyue1, LI Xiangyang2. Research on random noise suppression by synchrosqueezing wavelet transform [J]. Computer Engineering and Applications, 2018, 54(5): 57-60.
[11]	CHEN Bo1, LIU Houquan1, ZHAO Zhikai2. Method of multi-scale anomaly detection in time series [J]. Computer Engineering and Applications, 2018, 54(20): 122-127.
[12]	JIA Pengtao, JIA Wei. Recherche algorithm on coal mine multi-target trajectory tracking [J]. Computer Engineering and Applications, 2018, 54(2): 222-227.
[13]	ZHANG Yichao, YUAN Zhenming, SUN Xiaoyan. Sleep position recognition based on ballistocardiogram signal [J]. Computer Engineering and Applications, 2018, 54(17): 135-140.
[14]	HUANG Yafei, WANG Guofu, ZHANG Faquan, YE Jincai. Image denoising method based on bee colony algorithm and parametric threshold function [J]. Computer Engineering and Applications, 2018, 54(17): 164-168.
[15]	WANG Lei, SUN Wei, CHEN Yibo, LI Peng, ZAHO Lingxiao. ECG denoising method based on adaptive wavelet threshold selection [J]. Computer Engineering and Applications, 2018, 54(15): 29-33.

Video object segmentation based on MRF model using wavelet transform

一种基于小波变换的马尔可夫随机场的视频对象分割

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics