期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
COALESCENCE INDUCED GRADIENT MORPHOLOGY NEAR A WALL IN PHASE SEPARATED POLYMER BLENDS DURING QUIESCENT ANNEALING
1
作者 Wei Yu Chi-xing Zhou De-lu Zhao Department of Polymer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 China State Key Laboratory of Polymer Physics and Chemistry, Institute of Chemistry, Chinese Academy of Sciences Beijing 100080, China 《Chinese Journal of Polymer Science》 SCIE CAS CSCD 2002年第6期543-550,共8页
A fast coalescence mechanism is proposed to account for the wall effect on the formation of gradient morphology in phase separated polymer blends during quiescent annealing. The existence of solid wall with high polar... A fast coalescence mechanism is proposed to account for the wall effect on the formation of gradient morphology in phase separated polymer blends during quiescent annealing. The existence of solid wall with high polarity is believed to change the potential field around the dispersed particles near the wall. This additional potential interaction between the solid wall and the dispersed particles causes faster coalescence of the dispersed particles near the wall than in the bulk. The gradient phase morphology thus formed can be predicted by combining the wall-particle interaction and the touch-coalescence mechanism. The effect of interfacial tension on the gradient morphology is also discussed. 展开更多
关键词 gradient morphology wall effect COALESCENCE polymer blends interfacial tension
下载PDF
形态梯度重构的标记分水岭高光谱影像分割 被引量:3
2
作者 安素珍 王茂芝 +1 位作者 张涛 崔会丽 《四川理工学院学报(自然科学版)》 CAS 2012年第4期59-63,共5页
传统分水岭算法通常对梯度图像做无标记分割,其结果是容易造成过度分割。为了克服过分割的缺陷,进而应用于复杂的高光谱遥感图像分割,结合形态学预处理方法,在对图像实施平滑处理的同时,利用形态学开闭重构技术对梯度图像进行重建,在此... 传统分水岭算法通常对梯度图像做无标记分割,其结果是容易造成过度分割。为了克服过分割的缺陷,进而应用于复杂的高光谱遥感图像分割,结合形态学预处理方法,在对图像实施平滑处理的同时,利用形态学开闭重构技术对梯度图像进行重建,在此基础上对高光谱遥感梯度重建图像进行标记分水岭分割。实验证明,这种处理技术对高光谱遥感图像的分割效果良好,能够满足高光谱遥感图像分类与信息提取的需要。 展开更多
关键词 形态梯度 形态重构 标记分水岭算法
下载PDF
A Multi-Scale Gradient Algorithm Based on Morphological Operators
3
作者 LU Guan-ming (Department of Information Engineering, Nanjing University of Posts & Telecommunications, Nanjing 210003, P.R.China) 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2000年第1期56-59,共4页
Watershed transformation is a powerful morphological tool for image segmentation. However, the performance of the image segmentation methods based on watershed transformation depends largely on the algorithm for compu... Watershed transformation is a powerful morphological tool for image segmentation. However, the performance of the image segmentation methods based on watershed transformation depends largely on the algorithm for computing the gradient of the image to be segmented. In this paper, we present a multi-scale gradient algorithm based on morphological operators for watershed-based image segmentation, with effective handling of both step and blurred edges. We also present an algorithm to eliminate the local minima produced by noise and quantization errors. Experimental results indicate that watershed transformation with the algorithms proposed in this paper produces meaningful segmentations, even without a region-merging step. 展开更多
关键词 morphological gradient WATERSHED image segmentation mathematical morphology
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部