图象目标 meaning in Chinese
picture object
Examples
- Sar target segmentation based on markov random field
图象目标分割 - It can extract the feature of low quality gray image target , and had good robust
该滤波器能对低质量的灰度图象目标进行特征提取，并有很好的鲁棒性。 - Its center frequency was the range from low frequency to high frequency , its orientation is 6 and scale is 4 . gary image was directly transformed by these wavelet filters , the feature of extracting gray image target was denoted by the coefficients of gabor wavelet transform and its standard variance , the wavelet feature was input to the improved bp neural networks to classify
滤波器的中心频率是一个从低到高的范围，滤波器采用6方向， 4尺度，对灰度图象直接进行小波变换，用gabor小波变换系数的模的平均值和其标准方差来表示抽取的灰度图象目标的纹理特征，最后，把获得的小波特征输入到改进的bp神经网络分类器进行分类识别。