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- Region Feature Extraction 区域特征提取
- 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.
- Then, based on the method of feature extraction with half region of directional field, the issue of fingerprint multi-classification is solved with BTA-SVM. 基于指纹方向场的半区域特征提取方法,采用二叉树结构的支持向量机多分类策略解决指纹的多分类问题。
- 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.
- Second,a run length encode(RLE)is computed for the classified image,and a tree-based region find is employed to compute region feature. 在区域特征提取阶段,对象素分类所形成的二值图象实现行程编码,产生行程编码映射图,在此基础上,采用一种基于树的区域搜索算法计算出区域特征量。
- A new technology of discriminating fruit on trees is presented based on region feature, in which tomato is set as study subject. 摘要以番茄作为研究对象,提出基于区域特征的果实识别技术。
- 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。
- 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。
- Up to the mid-Ming, the development of the Sunan region featured the opening up of uncultivated lands. 综合市镇的各种特质,显现直到明中叶为止的苏南地区,仍富有浓厚的拓殖性色彩。
- 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。
- Can the Modern Architecture Be Possessed of Regional Features? 现代建筑有地域特色吗?
- 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。
