| 1. | Underwater target recognition based on fractal feature vector
基于分形特征矢量的水下目标识别 |
| 2. | An image segmentation method based on velocity feature vector for moving target extraction
基于速度特征矢量提取运动目标的图像分割方法 |
| 3. | Different algorithms are used to obtain different characteristic vectors for different images
对于两类图像采用不同的处理算法获得不同的特征矢量。 |
| 4. | After extracting characteristic vector , unqualified glass container can be identified by using statistic pattern recognition method
提取特征矢量后，通过统计模式识别原理即可以分类识别。 |
| 5. | Computation the likelihood function requires using the correspondences between extracted and predicted features
为了计算该似然函数，需要利用提取特征矢量和预测特征矢量之间的对应关系。 |
| 6. | This paper discussed the feature vector extraction methed , the realization of baum _ welch algorithm and the principle of hmm method
论文论述了特征矢量的获取， hmm的原理和baum _ welch算法的实现方法。 |
| 7. | For the good stability and validity of the fusion feature , they can be used to ir point target recognition
实验证明，这一融合特征矢量具有良好的稳定性和鲁棒性，同时该特征矢量计算量小，有利于工程实现。 |
| 8. | In this article , the genetic algorithm optimizes a feature vector by removing both irrelevant and redundant features and finds optimal ones
本文中基因演算法可移去不相关或多余之特征值以得到最佳化特征矢量。 |
| 9. | Template matching and erode algorithms are used respectively for glass container finish image and glass container center portion
对于容器瓶口图像，采用二值图像样板匹配的方法。特征矢量为样板和图像的相关性。 |
| 10. | The model - based sar target classifier that uses feature accomplishes classification by computing the likelihood function between extracted and predicted features
利用特征基于模型的sar目标分类方法，通过计算提取特征矢量和预测特征矢量之间的似然函数达到目标分类的目的。 |
