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图像细化一般作为一种图像预处理技术出现,目的是提取源图像的骨架,即是将原图像中线条宽度大于1个象素的线条细化成只有一个象素宽,形成 骨架 ,形成骨架后能比较容易的分析图像,如提取图像的特征.-image thinning as a general image preprocessing technologies emerging, is the source of images from the frames, that is, lines of the original image width
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这次上传的代码是关于几种常用特征提取方法的对比代码。-this code is uploaded on several common feature extraction methods contrast code.
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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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影象的特征提取主程序,利用Moravec算子对影像特征进行提取 -image feature extraction program, the use of Moravec Operator imaging characteristics of extraction
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统计特征提取的小程序,带有一个测试图象,提取的特征为质心\\面积\\欧拉数\\X轴和Y轴投影-statistical feature extraction small program with a test image, Feature Extraction for Centroid \\ area \\ Euler number \\ X-axis and Y-axis
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直方图、图象处理变换、小波变换、模板运算、图像压缩与编码、应用KL变换进行图象的特征提取
-histogram, image processing, transformation, wavelet transform, template operations, image compression and coding, Application KL transform the image feature extraction
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直方图、图象处理变换、小波变换、模板运算、图像压缩与编码、应用KL变换进行图象的特征提取
-histogram, image processing, transformation, wavelet transform, template operations, image compression and coding, Application KL transform the image feature extraction
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《Visual C++_MATLAB图像处理与识别实用案例精选》本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章,第1章-第6章是图像处理与识别的基础内容,包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别;第7章-第10章是图像处理与识别的工程实例,涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例,并结合理论算法,提供了大量MATLAB代码程序,以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。
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图像特征提取的matlab实例,图象识别很有用的程序-image feature extraction Matlab example, images very useful identification procedures
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Feature Extraction In Computer Vision And Image Processing by Mark S Nixon-Feature Extraction In Computer Vision And Image Processing by Mark S Nixon
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软件二进制程序的图像特征提取程序,基于GLCM-6提取图像特征。-Image feature extraction program software binaries, which uses GLCM-6 to extract image feature.
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作为一种优秀的纹理特征提取技术,多重分形谱插值方法被提出用于图像的特征提取和分类。-As an excellent texture feature extraction technology, a multi-fractal spectrum interpolation methods have been proposed for image feature extraction and classification.
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it is very good for feature extraction
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常用工具包,特征提取方法,如HOG,sift等特征,分类方法如决策树,svm等(Commonly used toolkits, feature extraction methods, such as HOG, sift and other features, classification methods, such as decision trees, SVM, etc.)
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SAR image feature extraction for targe detection
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To extract features from a image
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详细介绍了数字图像的基本特征,包括直方图、特征提取、目标识别、图像分割与复原、形态学图像处理等相关知识(Describes in detail the basic features of digital images, including histogram, feature extraction, target recognition, image segmentation and restoration, morphological image processing and other re
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基于灰度共生矩阵的图像纹理特征提取,包括熵,能量,相关,均值,逆差矩等(Image texture feature extraction based on gray level co-occurrence matrix)
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基于BoVW的图像特征提取,以及图像检索(Image feature extraction and image retrieval based on BoVW)
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在文中,提出来一个基于低秩的特征提取方法(Feature extraction plays a significant role in pattern
recognition. Recently, many representation-based feature extraction methods have been proposed and achieved successes in many
applications. As an excellent unsupervised featu
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