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- Automatic Inspection Feature Extraction and Recognition in CMM Inspection Planning 面向三坐标测量机应用的检测特征自动提取和识别
- inspection feature extraction 检测特征提取
- In order to defect the local texture variation, a inspection method based on feature extraction using two - dimensional continuous wavelet transform(2D CWT)is proposed. 利用二维连续小波特征,能在时域和频域上对织物图像同时实现任意尺度和旋转角度的变换。
- In order to defect the local texture variation, a inspection method based on feature extraction using two-dimensional continuous wavelet transform（2D CWT）is proposed. 利用二维连续小波特征，能在时域和频域上对织物图像同时实现任意尺度和旋转角度的变换。
- Feature extraction is a basic problem in pattern recognition. 特征提取是模式识别的基本问题。
- In chapter 4, feature extraction with DSG is introduced. 第四章介绍了使用DSG方法分解 特征模型。
- Line-edge feature extraction based on ergodic block[J]. 引用该论文 ZHANG Jian-wei;ZHANG Qi-heng.
- A target feature extraction and tracking method using Gabor wavelet[J]. 引用该论文 林明秀;董学志;宋建中.
- Fingerprint matchingincludes feature extraction, feature code and minutiae matching. 指纹特征匹配包括指纹特征提取，特征编码以及特征匹配等。
- CAD/CMM/CAIP operations are encapsulated in class. The class integrates tolerance information and inspection features information. 将CAD/CMM/CAIP的操作封装在类中,在几何特征的基础上,设计出集成公差信息、测量特征信息在内的类。
- An ameliorate approach method of image character feature extraction based on wavelet multi-scale analysis and entropy. 基于小波多尺度和熵在图像字符特征提取方法的改进。
- A method of textural feature extraction from mammogram based on GLCM is proposed in this paper. 文中提出了基于灰度共生矩阵的乳腺X照片纹理特征提取方法。
- In pattern recognition and in image processing, Feature extraction is a special form of dimensionality reduction. 在模式识别和图像处理领域中，特征提取是一种特殊的维数降阶的形式。
- Feature extraction is the difficulty of handwritten chinese character recognition. 特征提取是手写体汉字识别的一个研究难点。
- Feature extraction is the key part of handwritten chinese character recognition. 特征提取是手写体汉字识别的关键环节。
- Two different feature extraction methods,PCA and DCT,are applied to show their effects on the result. 文中使用了两种不同的方法进行图像的特征提取,它们是主元分析法和离散余弦变换法,结果显示,不同的特征提取方法对训练分类的结果会产生一定影响。
- Linear Discriminant Analysis (LDA) is one of the most popular linear classification techniques for feature extraction. 线性判别分析(LDA)是一种较为普遍的用于特征提取的线性分类方法。
- The segmentations of gait silhouettes have very important influence on feature extraction and subject classification. 步态轮廓的有效分割对于特征提取、目标分类等后期处理有非常重要的影响。
- Kernel linear discriminant analysis (KLDA) is essentially a nonlinear feature extraction criterion. 核线性判别准则(KLDA)是一种非线性特征提取准则。
- Non-negative Matrix Factorization（NMF） is a new algorithm for feature extraction. 非负矩阵分解算法可以作为一种新型的特征抽取方法。
