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基于形态学梯度重构和标记提取的分水岭图像分割
引用本文:王宇,陈殿仁,沈美丽,吴戈.基于形态学梯度重构和标记提取的分水岭图像分割[J].中国图象图形学报,2008,13(11):2176-2180.
作者姓名:王宇  陈殿仁  沈美丽  吴戈
作者单位:长春理工大学电子信息工程学院,青岛理工大学理学院
摘    要:为了解决传统分水岭算法的过分割问题,提出一种使用形态学梯度重构和标记提取技术进行图像预处理的分水岭图像分割方法。该方法基于多尺度概念,进行梯度重构时采用了不同尺寸的结构元素,在对重构后的各梯度图像的区域极小值进行标记后,将各标记点的并集作为最终标记图像,用其修改梯度图像,然后进行分水岭变换,实现图像的区域分割。实验结果表明,该方法既能有效解决分水岭算法的过分割问题,又保留了各尺度下的重要目标,并且可以根据图像特点和具体的分割要求,调整分割过程中所选参数,得到满意的图像分割效果。

关 键 词:图像分割  分水岭算法  形态学梯度  形态学重构  标记提取
收稿时间:2/1/2007 12:00:00 AM
修稿时间:2007/5/31 0:00:00

Watershed Segmentation Based on Morphological Gradient Reconstruction and Marker Extraction
WANG Yu,CHEN Dian-ren,SHEN Mei-li,WU Ge.Watershed Segmentation Based on Morphological Gradient Reconstruction and Marker Extraction[J].Journal of Image and Graphics,2008,13(11):2176-2180.
Authors:WANG Yu  CHEN Dian-ren  SHEN Mei-li  WU Ge
Abstract:A watershed segmentation method combining multi-scale morphological gradient reconstruction with marker extraction is proposed.Considering the idea of multi-scale,this method employs different sizes of structure elements to reconstruct morphological gradient image and extracts markers of regional minima from each gradient image by using thresholds.The union set of a series of marker images is regarded as the final marker image.Then the markers are used to modify morphological gradient image.Finally,the watershed transformation of the marker-modified gradient image is performed to achieve the regional segmentation of the image.Experimental results show that this method can effectively avoid over-segmentation of watershed algorithm and maintain important objects at different scales.Furthermore,better segmentation results can be achieved by adjusting the chosen parameters during segmentation process according to the features of the image and specific requirements.
Keywords:image segmentation  watershed algorithm  morphological gradient  morphological reconstruction  marker extraction
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