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为了提取区域边界，可以对图像直接运用一阶微商算子或二阶微商算子，然后根据各像点处的微商幅值或其他附加条件判定其是否为边界点。如果图像中含有较强噪声，直接进行微商运算将会出现许多虚假边界点。-.Using the feature of distinct edge contour existing between the text and the background regions in color images, a novel text extraction algorithm—CEMA(Co
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特征提取（很详细的介绍了特征提取的一些列方法，是学习特征提取的好材料）-Feature extraction (described in great detail a number of feature extraction methods are listed, feature extraction is a good learning materials)
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Based on the information processing functionalities of spiking neurons, a spiking neural network model is proposed to extract features from a visual image. The network is constructed with a conductance-based integrate-and-fire neuron model and a set
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边缘特征提取。可以实现Prewitt Roberts Log Canny 四个算法。-Edge feature extraction. Can be achieved in four Prewitt Roberts Log Canny algorithm.
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BMyCrust take as input a 3D scatter points cloud and return a tight, manifold, triangulation.
Remember that crust algorithm needs a cloud representing a volume, so open surface may give inaccurate results. For example : a plane can not be triang
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从说话人的语音信号中提取说话人的个性特征是声纹识别的关键。主要介绍语音信号特征提取方法中的Mel倒谱系数
-From the speaker s voice signal to extract the speaker s personality traits is the key to Voiceprint identification. Mainly introduces the speech signal feature extraction method in Mel cepstral
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近年来，随着互联网的高速发展，网上的多媒体信息也急剧增加，这些多媒体信息以图像为主。如何从浩瀚的图像数据库中快速、准确地找出所需要的图像，己成为一个备受关注的研究课题。有效地组织、管理和检索大规模的图像数据成为迫切需要解决的问题。于是基于内容的图像检索(Content-Based Image Retrieval: CBIR)作为一个崭新的研究领域出现了。
本课题拟研究、分析彩色图像红、绿、蓝三基色直方图的生成、特征提取和相似度等问题，应用图像的颜色信息—三基色直方图对图像进行检索。针对基于颜
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This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring
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模式识别中，有一类特征提取方法为基于类内内间距离的提取方法，本程序可实现类内内间算法-Pattern recognition, there is a class of feature extraction method based on within-class distance between the extraction methods in this program can be realized within the inter-category algorithm
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In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is in
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首先进行小波变换，在此基础上进行pca特征提取，在进行lda特征提取，用于人脸识别-First, wavelet transform, in this based on pca feature extraction, feature extraction during lda for face recognition
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自动的角点检测算法。运用SIFT特征，对图像中的特征点进行提取！试过，好用！-Automatic corner detection algorithm. The use of SIFT features, right in the image feature point extraction! Tried, easy to use!
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基于高波滤波的特征提取技术，从而实现人脸识别和表情识别的目的-Based on high-wave filter feature extraction techniques, in order to achieve the purpose of face recognition and expression recognition
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在DCT域进行图像检索，分别采取了对DCT块的边缘类型提取以及纹理特征提取两个方法-Image Retrieval in DCT domain, DCT blocks were taken on the edge of the type and texture feature extraction method of extracting the two
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本文深入研究了复杂调制信号MPSK、MQAM的倍号子类以及常用恒包络信
号OQPSK、or／4 QPSK、MSK的调制识别披本。在鳆种基本调制识别方法即基于特征提取的方法和基于最大似然的方法的纂础上采用四种算法分别对上述信号进行识别研究。-This article studies the complex modulation signals MPSK, MQAM number of times and the common sub-class of constant envelope sig
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提取目标位置参考点和目标匹配模板；使用基于区域特征的运动目标跟踪算法获取目标位置（像素)
-Extraction of target location and target reference points match template use region-based feature tracking algorithm for moving object target location (pixels)
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指纹图像预处理与特征提取是指纹识别的前提，本文提供指纹图像预处理算法, 并给出了指纹特征提取及其后处理算法及其参考文献。-Fingerprint image preprocessing and feature extraction is a prerequisite for fingerprint recognition, fingerprint image pre-processing algorithm in this article, and gives the fingerprint f
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在人脸识别过程中，进行非线性特征提取，基于流形的特征提取，正交局部保持投影。-In face recognition process, non-linear feature extraction, based on the feature extraction, orthogonal submanifolds with local keep projection.
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模块pca, 在人脸识别中进行特征提取，速度效率比PCA要高，基于ORL人脸库上进行试验。-In face recognition module pca feature extraction by speed, efficiency, than pca based on ORL face database on the test.
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国外的一个车牌识别程序，主要是基于颜色特征提取分割的，内置神经网络。-A license plate recognition program abroad, mainly segmentation based on color feature extraction, built-in neural networks.
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