Industrial competitiveness and regional value are fundamentally consistent yet different in that the former relates to businesses while the latter is concerned with households(regional employment,taxes and the environ...Industrial competitiveness and regional value are fundamentally consistent yet different in that the former relates to businesses while the latter is concerned with households(regional employment,taxes and the environment).In a market-based economy,most enterprises are able to'vote with their feet'and move to regions that are favorable to them.For a region,enterprises contribute to regional value only when they set展开更多
In this paper,we propose a multiphase fuzzy region competition model for texture image segmentation.In the functional,each region is represented by a fuzzy membership function and a probability density function that i...In this paper,we propose a multiphase fuzzy region competition model for texture image segmentation.In the functional,each region is represented by a fuzzy membership function and a probability density function that is estimated by a nonparametric kernel density estimation.The overall algorithm is very efficient as both the fuzzy membership function and the probability density function can be implemented easily.We apply the proposed method to synthetic and natural texture images,and synthetic aperture radar images.Our experimental results have shown that the proposed method is competitive with the other state-of-the-art segmentation methods.展开更多
文摘Industrial competitiveness and regional value are fundamentally consistent yet different in that the former relates to businesses while the latter is concerned with households(regional employment,taxes and the environment).In a market-based economy,most enterprises are able to'vote with their feet'and move to regions that are favorable to them.For a region,enterprises contribute to regional value only when they set
基金supported partially by RGC 201508,HKBU FRGsThe Research Fund for the Doctoral Program of Higher Education(200802691037)the Natural Science Foundation of Shanghai(10ZR1410200).
文摘In this paper,we propose a multiphase fuzzy region competition model for texture image segmentation.In the functional,each region is represented by a fuzzy membership function and a probability density function that is estimated by a nonparametric kernel density estimation.The overall algorithm is very efficient as both the fuzzy membership function and the probability density function can be implemented easily.We apply the proposed method to synthetic and natural texture images,and synthetic aperture radar images.Our experimental results have shown that the proposed method is competitive with the other state-of-the-art segmentation methods.
