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图像二值化经典算法最大类间方差法的matlab程序。-Algorithm for image binarization classic Otsu method matlab program.
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图像类型的相互转换，灰度图像的二值化方法，图像类型的相互转换，灰度图像的二值化方法-Image type conversion, gray image binarization method, image type conversion, gray image binarization method
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采用三种不同算法求取二值化的阈值（双峰法，迭代法，最大类间方差法）-Using three different algorithms to strike a binarization threshold (bimodal method, iterative method, Otsu method)
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matlab 采用OTSU方法实现灰度图像二值化-OTSU method using gray image binarization
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二值化加上OTUS法阀值法的分形维数计算，在这里奉上-Binarization threshold law with OTUS method of fractal dimension calculation, where the offer
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这6个程序可用于0—9的数字识别，算法包括：基于类中心的欧式距离法、马氏距离法、夹角余弦距离法
、二值化的夹角余弦距离法、二值化的Tanimoto测度法和增量校正算法，均为基于matlab软件编写的程序。学会了这几个算法，可以在这些程序的基础上进行扩展，对三维模型识别算法的编程有一定的帮助。-6 program can be used 0-9 digit recognition, algorithms include: class center Euclidean distance, Mah
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采用二值化的夹角余弦距离法进行分类。主要从以下两个步骤进行实现：a、将样本库中每个样本进行二值化，去阈值T=0.05；b、利用夹角余弦距离法对待测样品X进行分类。-Binarization Angle cosine distance method is used to classify.Implementation is mainly the following two steps: a, each samples in the sample library binarization, to
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提出基于拉普拉斯高斯（Laplacian of Gaussian，LoG）算子边缘检测的全局二值化方法对其进行处理，该方法通过提取图像边缘部份的像素灰度获得图像二值化的阈值。处理结果表明，与传统的几种方法相比，该方法能够快速选取良好的二值化阈值，较好地区分目标和背景，在相当大模板宽度内图像二值化的结果都令人满意。-Is put forward based on the Laplacian of Gaussian (LoG) Laplacian of Gaussian, operator edge
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提取指纹图像细节特征，二值化。使用匹配模版法匹配指纹图像。-Extracting a fingerprint image minutiae, binarization. Matching fingerprint image using the template matching method.
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The implemented Sauvola method uses integral images for fast computation of the threshold function.
The Sauvola method is described in:
J. Sauvola and M. Pietikainen, Adaptive document image binarization, Pattern Recognition 33, 2000. - ht
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Nick s binarization derives thresholding formula the basic Niblack algorithm, the parent of many local image thresholding methods. The major advantage of Nick s method over Niblack is that it considerably improves binarization for white and light pag
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