搜索资源列表
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sift特征点提取代码和对两幅图像提取特征点后进行特征点匹配,可用于图像拼接等。c和matlab代码都有,sift feature point extraction code and the two images after the extraction of feature points matching feature points that can be used, such as image stitching. both c and matlab code
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图像纹理特征提取matlab,计算图像的粗糙度、方向度等特征。,Image texture feature extraction matlab, calculated image roughness, and other characteristics of the direction of degrees.
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用主成分分析法提取人脸图像特征的程序,算法理论依据是K-L变换,Principal Component Analysis with face image feature extraction process
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图像特征提取,包括:颜色直方图,颜色矩,边缘直方图,Gabor小波变换,局部二值图,GIST。,Image feature extraction, including: color histogram, color moment, the edge histogram, Gabor wavelet transform, partial binary image, GIST.
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一个Matlab环境下编写的流行学习(manifold)算法,可用于图像特征提取及行为模式提取-Matlab environment to prepare a prevalence study (manifold) algorithm, can be used for image feature extraction and pattern extraction
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这是一个人脸识别的程序,先对图像预处理,然后用PCA进行特征提取。-This is a face recognition process, first on the image pre-processing, and then use PCA for feature extraction.
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子模式主成分分析首先对原始图像分块,然后对相同位置的子图像分别建立子图像集,在每一个子图像集内使用PCA方法提取特征,建立子空间。对待识别图像,经相同分块后,分别将子图像向对应的子空间投影,提取特征。最后根据最近邻原则进行分类。-Sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the
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Harris_conner_detection,用MATLAB实现Harris角点检测算子的源码,用于特征点提取及图像配准等。-Harris_conner_detection, use MATLAB to achieve Harris corner detection operator of the source code for the feature point extraction and image registration and so on.
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利用moravec兴趣算子提取图像的点特征,matlab编写-Moravec interest operator to use the image point feature extraction, matlab prepared
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轮廓特征提取,是图像处理中底层特征中的一个重要参数,是我硕士论文中的代码-Contour feature extraction, image processing are the underlying characteristics of an important parameter, is my master' s thesis in the code
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matlab处理指纹图像,由于指纹的唯一性、可靠性和稳定性,指纹已成为身份识别和鉴定的一个重
要标志,并被公认为“物证之首”。指纹识别作为一种生物识别技术,历来受到人们的广泛关注和重视,是未来个人身份认证的重要组成部分。-Fingerprint image processing matlab,Because the uniqueness of fingerprints, reliability and stability,fingerprint identification has beco
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针对可见光与红外图像的特点和难点,提出了可见光与红外图像配准与融合中的关键技术,即:
使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗
配准 使用新型的特征点提取方法,特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基
于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合.
-For visible light and infrared images of the characteris
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针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算
法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相
结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.-Image distortion for high-precision, a least-squares image matchin
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状是含有高层语义信息的视觉特征,在基于内容的图像检索及图像识别中具有重要的应用价值。有很多种描述子可以描述图像的形状特征,傅立叶描述子可以把二维的图像轮廓信息简化成一维问题进行处理,应用非常广泛。然而自然图像的形状特征通常是杂乱的,有噪声的,提出了一种图像预处理方法,得到净化的形状图像,通过实验研究傅立叶描述子算法提取形状特征的效果。-Abstract Shape is a visual feature which contains intrinsic high-level semantics
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一本有关特征提取和图像处理的,绝对经典!-One of the feature extraction and image processing, an absolute classic!
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Image Feature Extraction based on PCA
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Feature Extraction code using in image processing.
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图像分析程序,他有效地实现了对输入图像的特征提取,并用MATLAB实现,它包括图像-Image analysis process, he effectively to achieve the input image feature extraction, and use MATLAB to achieve, which includes the image
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用matlab编写的用于医学图像。很实用。大家可以参考参考。-Using matlab to prepare for the license plates feature extraction. Very practical. Members can refer to reference
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Melanoma is one of the deadly diseases among skin
cancer. Melanoma detection can be done by dermatological
screening and biopsy tests which are time consuming and
expensive that requires experts from medical field. Due to cost of
dermatologist to
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