该模型由原始图像层(raw image layer, RIL)、图像特征层(image feature layer, IFL)、语义知识层(semantic knowledge layer, SKL)以及语义描述算法SDA构成...
基于4个网页-相关网页
该模型由原始图像层(raw image layer, RIL)、图像特征层(image feature layer, IFL)、语义知识层(semantic knowledge layer, SKL)以及语义描述算法SDA构成...
基于4个网页-相关网页
该模型由原始图像层(raw image layer, RIL)、图像特征层(image feature layer, IFL)、语义知识层(semantic knowledge layer, SKL)以及语义描述算法SDA构成...
基于4个网页-相关网页
image bottom-layer feature 图像底层特征
In this paper, the image shape feature extracted by the PCA method can meet the needs of the recognition layer well.
在该文的形状识别系统中，用P CA法提取图像的形状特征，能够较好地满足识别层的输入要求。
The features extract method of MCSF based on wavelet multi-scale transform is that the image feature of coefficient sub-frequency is decomposed with 3 layer of wavelet multi-scale transform.
基于小波多尺度分解子带主成份的特征提取法，利用小波多尺度分解子带系数图像特征。
In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.
本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。
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