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此设计要求能够实现将医学图像进行识别的过程，包括了图像预处理、图像特征提取及分类判决三大模块。在预处理这一步中主要实现的是将彩色图像转换为灰度图像，灰度图像的二值化，直方图修正，去除干扰、噪声以及差异，边缘增强等；第二模块是图像的特征提取。由于对象的物理与几何特性差异，在影像中表现为局部区域的灰度产生明显变化，形成影像特征，而图像特征提取就是对其进行加工、整理、分析、归纳以便提取构成目标影像的特征，得到能反映图像内容区别于其他事物的本质特征；分类判决作为第三模块，则是要在第二步的基础上采用某种分
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为了实现彩色栅格地图道路的全自动提取，提出了一种闭环反馈提取彩色
栅格地图道路的方法。在地图图像数学模型的基础上，根据地图中对象的颜色特征对地图图
像进行规范化处理。在采用一些算法去除噪声后提取道路，对道路进行细化处理。依据道路
和噪声的特征建立一些判据判断道路的正确性，把道路的提取变成了根据判据不断修正道路
的循环过程，实现道路的全自动提取。试验结果表明了该方法具有较高的准确性、全自动化
和通用性。-color raster to the road map automati
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语音识别中的语音信号特征提取和选择是关系到语音识别模型性能的一个重要问题。音信号的特征提取是解决时域信号的数字表问题，特征选择则是在多个特征中选择有的特征为后继的模式划分部分提供数据。-Speech recognition in speech signal feature extraction and selection in relation to the performance of speech recognition model of an important issue. Audio
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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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This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transfo
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Feature extraction is a key issue in contentbased
image retrieval (CBIR). In the past, a number of
texture features have been proposed in literature,
including statistic methods and spectral methods.
However, most of them are not able to accu
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Owing to the broad application value of audio
watermarking in remote transmission and mobile
extraction, it is very important to study watermarking
approaches against A/D and D/A conversion. Based
on wavelet decomposition and cepstrum technol
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Owing to the broad application value of audio
watermarking in remote transmission and mobile
extraction, it is very important to study watermarking
approaches against A/D and D/A conversion. Based
on wavelet decomposition and cepstrum technol
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Owing to the broad application value of audio
watermarking in remote transmission and mobile
extraction, it is very important to study watermarking
approaches against A/D and D/A conversion. Based
on wavelet decomposition and cepstrum technol
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features extraction using matlab
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运用于人脸识别中的特征提取方法：通过稀疏化特征向量（即使一些不重要的特征值为0），来减少运算量-Used in face recognition feature extraction methods: by sparse feature vector (even if some important features of value 0), to reduce the computation
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Simba Features Extraction Algorithm
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基于局部特征的目标识别技术研究，阐述了解决遮挡情况下使用局部特征来识别目标的局部特征提取方法-Target recognition technology research based on local features of the local feature extraction methods solve occlusion using local feature to identify target
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纹理图像的特征提取，这对日后用MATLAB提取相关特征值有一定的引导作用-Texture image feature extraction, which extracts relevant features using MATLAB future value of certain guide
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wavelet transform in speech recognition will be briefly reviewed.
we describe how the features are extracted, different algorithm, weighting will be introduced-wavelet transform in speech recognition will be briefly reviewed.
we describe h
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利用opencv对几种图像特征的提取方法，进行总结实现。-Use opencv on several kinds of image features extraction method, summarizes implementation.
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feature extraction in matlab simple intro
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Low-level feature extraction
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Pattern recognition and Gesture recognition are the growing fields of research. Being a significant part in non verbal communication hand gestures are playing vital role in our daily life. Hand Gesture recognition system provides us an innovative,
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This paper gives an insight to labview software tools which helps in analysis of ECG signals. The raw ECG data are taken MIT-BIH Arrhythmia . Study of ECG signal includes filtering & preprocessing which removes the baseline wandering and noise due to
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