基于小波域的模糊化区域竞争模型的图像分割方法  

Image segmentation method based on fuzzy region competition model in wavelet-domain

作　　者：李晓峰[1] 杨艳芳[1] 秦勇[1] 

机构地区：[1]北京交通大学交通运输学院轨道交通控制与安全国家重点实验室,北京100044

出　　处：《光电子．激光》2013年第2期391-396,共6页Journal of Optoelectronics·Laser

基　　金：国家"863"高技术研究发展计划(2011AA110503);中央高校基本科研业务费专项资金资助项目

摘　　要：本文中提出了一种基于小波变换的模糊化区域竞争图像分割算法。该算法利用小波变换在纹理分类的优越性,在模糊化区域竞争算法的框架下对图像实施非抽样小波变换,建立起基于小波域的统计特征参数,并根据此特征参数构造能量函数。在算法求解过程中,通过采用快速迭代算法加快算法求解的速度。本文提出的图像分割算法可以有效地降低信噪比的敏感性,有效地解决模糊图像分割问题。实验结果表明,本文提出的分割方法在分割质量和速度上比经典的主动轮廓模型和模糊化区域竟争分割算法更具有优越性。In this paper, a wavelet transform based fuzzy region competition image segmentation algorithm is proposed. Utilizing the superiority of texture classification based on wavelet transform, this algorithm processes the image with undecimated wavelet transform under the fuzzy region competition algorithm, and then sets up the statistical characteristics of parameters in the wavelet domain first. Based on the pa- rameters described above, the energy function is constructed accordingly. In the stage of solving the equa- tion, a fast iterative algorithm is adopted to accelerate the procedure. The image segmentation algorithm proposed here can decrease the sensitivity of the signal-to-noise ratio, which often occurrs in traditional segmentation methods. Corresponding experiments are carried out. In these experiments, active contours without edges and the fuzzy region competition image segmentation algorithm are adopted as the refer- ences to evaluate our algorithm. Experimental results show that our proposed algorithm has promising performance on the segmentation qualities and the segmentation rate than the active contours without edges and the fuzzy region competition image segmentation algorithm.

关 键 词：模糊化区域竞争 小波域 快速迭代算法 图像分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]