文件名称:AA
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [PDF]
- 上传时间:
- 2013-12-04
- 文件大小:
- 179kb
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- 0次
- 提 供 者:
- hu***
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本文构造了不同的信息测度来定量描述阶跃边缘的三个本质特征,并给出由相应的三个分量组成的特征向量.用人工得到的样本对一BP神经网络进行训练,将训练后的神经网络直接用于图像的边缘检测.本文方法无需定阈值 在特征的选取上充分考虑了边缘和噪声的本质区别,具有优异的抗噪性能.实验证明本文方法具有令人满意的效果。-In this paper ,from the natural characters of step edge of image, we proposed a feature vector that consists of 3 com2
ponents based on the information measure accordingly. Firstly.a BP neural network is trained with some samples that have been classi2
fied by manual work,and then extract edge proints in a new image using the trained neural network.
ponents based on the information measure accordingly. Firstly.a BP neural network is trained with some samples that have been classi2
fied by manual work,and then extract edge proints in a new image using the trained neural network.
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一种新的基于信息测度和神经网络的边缘检测方法.pdf