基于模糊形态学的图像边缘轮廓提取改进分割算法  

On Improvement Segmentation Algorithm of Image Edge Contour Extraction Based on Fuzzy Morphology

作　　者：倪元敏[1] 巫茜[2] 

机构地区：[1]重庆工业职业技术学院机械工程学院,重庆401120 [2]重庆理工大学计算机科学与工程学院,重庆400054

出　　处：《西南师范大学学报（自然科学版）》2013年第12期95-100,共6页Journal of Southwest China Normal University(Natural Science Edition)

摘　　要：图像边缘轮廓提取在国计民生、军事等领域有广泛应用,为了克服噪声等影响导致的图像过度分割现象,探讨了一种基于模糊形态学的图像分割改进算法.该方法借助模糊形态学的开、闭运算,首先对原始图像进行平滑处理,然后基于形态学梯度算子进行梯度计算,最后基于改进分水岭算法与IFT分割算法的融合,对梯度图像进行分割得到期望的边缘轮廓图像.仿真以图像识别为例,实验显示基于改进的图像分割算法可较好地消除过分割现象,正确识别图像,实现目标与背景的分离.研究结果表明,提出的图像分割算法是合理可行的.The extraction of image edge contour is widely applied in the fields such as national economy and the people＇s livelihood,military affairs,etc.In order to overcome the influence of image over segmentation phenomenon resulted by noise and so on,an improved algorithm for image segmentation based on fuzzy morphology has been explored in this paper.By means of open and closed operation of fuzzy morphology, the algorithm first made smooth processing for the original image,and then it took the gradient calculation based on morphological gradient operator,and based on the fusion of improved watershed algorithm and IFT segmentation algorithm,and finally,it made the segmentation for gradient image to obtain the expected edge contour image.The simulation with image recognition as an example has demonstrated that it could effectively eliminate the over segmentation phenomenon by improved image segmentation based algorithm,distinguish the image correctly,and realize the separation of target and background.The research result shows that the proposed algorithm of image segmentation improvement is reasonable and feasible.

关 键 词：图像分割 边缘轮廓识别 梯度算子 模糊形态学 分水岭算法 IFT分割算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]