利用模糊特征改进Snakes模型的图像分割  

An improved Snakes model using fuzzy feature for image segmentation

作　　者：石澄贤[1] 林红章[1] 

机构地区：[1]江苏工业学院数理学院,江苏常州213164

出　　处：《光电子．激光》2010年第3期456-460,共5页Journal of Optoelectronics·Laser

基　　金：国家自然科学基金资助项目(60973094);江苏教育厅高校自然科学研究资助项目(06KJD520048)

摘　　要：利用模糊特征自适应地控制曲线法向力场改进参数主动轮廓模型,改进后的模型可以对弱边缘、无边缘区域和纹理图像进行分割。曲线法向力场加速了曲线收敛到目标区域边界,改进了抓取范围和提取凹区域的能力。对弱边缘图像、医学图像和纹理的分割实验表明,新方法具有良好的性能。The fuzzy features can contain global,local information and prior knowledge of images.Based on that,the parametric active contour model is improved by using the adaptive normal force of curve relating to fuzzy feature.The improved model provides an image segmentation to images with weak edges,without edges and with texture image.The adaptive balloon force has speeded up the curve convergence to target region boundary,and has improved the capture range and concave object extraction capability.Experimental results show that the novel scheme has a good property of image segmentation to real images including objects with weak edges,medical data imagery and texture.

关 键 词：主动轮廓模型 图像分割 模糊特征 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]