查询结果:   朱俊杰,杜小平,范湘涛,郭华东.三种图像分割算法的对比及图像分割方法的改进[J].计算机应用与软件,2014,31(1):194 - 196,200.
中文标题
三种图像分割算法的对比及图像分割方法的改进
发表栏目
图像处理与应用
摘要点击数
755
英文标题
CONTRAST OF THREE IMAGE SEGMENTATION ALGORITHMS AND IMPROVEMENT OF IMAGE SEGMENTATION METHODS
作 者
朱俊杰 杜小平 范湘涛 郭华东 Zhu Junjie Du Xiaoping Fan Xiangtao Guo Huadong
作者单位
中国科学院数字地球重点实验室 中国科学院对地观测与数字地球科学中心     
英文单位
Key Laboratory of Digital Earth Science, Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China     
关键词
分割 分水岭分割 分型网络演化方法 Mean shift 种子点
Keywords
Segmentation Watershed segmentation method Fractal net evolution approach Mean shift Seed point
基金项目
国家自然科学基金项目(41071274);国家科技支撑计划课题(2012BAC16B01)
作者资料
朱俊杰,副研究员,主研领域:图像处理。杜小平,助理研究员。范湘涛,研究员。郭华东,院士。 。
文章摘要
通过研究图像分割算法的原理和实验对比,可以发现标记分水岭分割方法是以边缘特性为基础,通过设置光谱特征标记来分割图像,其分割结果边缘精度高,但是仍然存在较为严重的过分割和欠分割情况。而mean shift分割方法和eCognition分割方法是以光谱特征为分割依据的分割方法,虽然它们分割结果的过分割和欠分割情况较少,但是分割对象的边缘精度较差。分析以上存在的问题后,通过融合边缘特征和区域特征,并且依据一定的特征来选择种子点,尽量避免种子点选择在边缘区,从而实现提高图像分割的效果。通过实验取得了好的分割效果,说明改进的图像分割方法是可行的。
Abstract
By analysing their principles and experiment contracts, we can find that the marker controlled watershed segmentation is an edge-based segmentation method, it segments the image by setting the spectral feature marker and has high edge precision in segmentation result, but still has a lot of over-segmentation and under-segmentation situations. As the segmentation methods based on spectral feature, the mean shift segmentation method and the eCognition segmentation method have less over-segmentation and under-segmentation situations in segmentation results, but the edge precision of segmenting objects is poorer. With the analysis on the problems above, in this paper we select the seed points according to certain features through fusing the edge features and regional features, and do best to avoid the seed points to be chosen near the edges, so as to improve the image segmentation effects. Better result is also obtained through the experiment, this proves that the improved segmentation method is feasible.
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