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图像二值化算法:Otsu算法,Kittler minimum error thresholding算法,Niblack二值化算法。都是很经典的二值化算法,可用于对图像进行二值化,我自己编写的并经过测试正确。附件中有算法使用说明。-Image binarization algorithm: Otsu method, Kittler minimum error thresholding method, and Niblack method. All these methods are classic
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基于OTSU算法的图像二值化分割,本程序是从视频中截取某一帧来实现。-OTSU algorithm based on binarization image segmentation, the process is from the video frames to achieve a certain interception.
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利用最大类间方差法(OTSU)求出对图像进行二值化处理的最佳阈值,从而进行图像二值化处理。
-Using the maximum between-class variance method (OTSU) obtained image binarization best treatment threshold, and thus image binarization treatment.
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利用改进的ostu即最大类间方差方法进行视频图像二值化-Ostu that the use of improved Otsu method of video image binarization
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otsu算法实现,可以自适应获取阈值,对图像进行二值化。里面配有图像均衡化的程序一起使用,效果更好-otsu algorithm, you can get adaptive threshold for image binarization. Which is equipped with image-based program used in conjunction with a balanced, better
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用matlab实现的otsu全局二值化算法、kittler 最小分类错误(minimum error thresholding)全局二值化算法、niblack局部二值化算法-Using matlab implementation otsu global binarization algorithm, kittler minimum classification error (minimum error thresholding) the global binarization algorithm
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实现24位RGB彩色图像,先转化为灰度图像,而后用大津法实现二值化,并显示阀值。-To achieve 24-bit RGB color images, the first converted to grayscale images, then using Otsu binarization method to achieve and display threshold.
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灰度图像二值化比较经典的算法,包括otsu方法和局部阈值法。-Gray image binarization more classic algorithms, including methods and local otsu threshold.
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二值化算法的经典算法:大津法Matlab源码,有较高的参考价值-Classical binarization algorithm algorithms: Otsu Matlab source code, have a high reference value
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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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image_binaryzation.m : 图像二值化主函数,调用otsu、kittler
otsu.m : 类判别分类法(otsu全局二值化算法)
kittler : 最小分类错误(minimum error thresholding)全局二值化算法
image_refining.m : 图像细化主程序,调用otsu、refining
refining.m : 计算骨架的一种实用方法对图像进行细化
coins.bmp
lenna.bmp
woman_
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该文件夹中有六个M文件,说明如下:
boundary_extraction.m : 目标区域边界抽取主函数,其中调用ostu、four_neighbor、eight_neighbor、globe_graph
otsu.m : 类判别分类法(otsu全局二值化算法)
four_neighbor.m : 四邻域法边界抽取
eight_neighbor.m : 八邻域法边界抽取
globe_graph.m : 全局检测法边界抽取
area_peri.m : 目标区域
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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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该文件夹中有四个matlab文件,说明如下:
binariztion.m: 二值化主程序,分别调用下面三种二值化算法。
otsu.m: 表示otsu全局二值化算法。
kittlerMet.m: 表示kittler 最小分类错误(minimum error thresholding)全局二值化算法。
niblack.m: 表示niblack局部二值化算法。
coins.bmp: 原始灰度图片。
coins_bw_otsu.bmp: otsu全局二值化结果。
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这是otsu算法的matlab版,可以对图像进行自动二值化处理。-Otsu algorithm matlab version, automatic binarization processing of the image.
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大津法确定图像二值化阈值,为MATLAB语言编写的M文件, 可直接使用-Otsu method to determine the threshold image binarization
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用于处理灰度图像二值化的matlab代码,算法采用大津法-For processing gray image binarization matlab code algorithm uses Otsu method
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用matlab编写的简单程序,用自适应门限法将图像二值化,门限是通过最大类间方差确定-Simple program using matlab, using adaptive threshold method image binarization threshold is determined by Otsu
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:%中值滤波%otsu 自动阈值计算%利用4个方向的roberts和进行边缘提取,并二值化%膨胀处理- Otsu median filter automatically calculate threshold using 4 direction roberts and edge detection and binarization expansion deal-Otsu median filter automatically calculate threshold using 4 directi
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该文件夹中是三种二值化算法的matlab代码,其中有otsu二值化。-This folder are three binarization algorithm matlab code, which otsu binarization
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