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Description: The adaptive hough transform（21HT） 作者：J.Kittler,自适应霍夫变换方法的作者，IEEE的原文，从图书馆找的。-The adaptive hough transform (21HT) Author: J. Kittler, Adaptive Hough Transform, author of Ways, IEEE original text, from the library looking for.
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Author: miaosiyi |
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Description: ellipse detection using the hough transform 作者 H.K. Yuen, J. Illingworth and J. Kittler
Department of Electronics and Electrical Engineering
University of Surrey, Guildford。对霍夫变换检测检测椭圆的原理有一定的参考意义。-ellipse detection using the hough transform Authors HK Yuen, J. Illingworth and J. Kittler Department of Electronics and Electrical Engineering University of Surrey, Guildford. Hough transform for ellipse detection Detect principle must have reference significance.
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Size: 2085888 |
Author: miaosiyi |
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Description: 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 classical binarization methods.
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Size: 49152 |
Author: sdfadf |
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Description: 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, niblack Local Binary Algorithm
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Size: 55296 |
Author: 释然 |
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Description: Automatic Gray-Scale Image Thresholding methods: Tsai, Prewitt, Rosenfeld, Otsu, Kittler, Ridler.
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Size: 4096 |
Author: marcosjvc |
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Description: 作者:J.Kittler and J.Illingworth
KI阈值算法-Author：J.Kittler and J.Illingworth
1986
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Size: 2889728 |
Author: 虚幻追梦 |
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Description: KI阈值算法，实现SAR图像变化检测时判别变化与非变化的区域所需要阈值的选取-the Kittler and Illingworth minimum-error thresholding algorithm
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Size: 288768 |
Author: 王路 |
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Description: 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_v7_5.bmp : 原始灰度图片
实验结果文件夹 ： 保存了实验过程中生成的图像和程序流程图-image_binaryzation.m: image binarization main function, call otsu, kittler otsu.m: class discriminant classification (otsu global binarization algorithm) kittler: minimum classification error (minimum error thresholding) global binarization algorithm image_refining.m: thinning the main program, call otsu, refining refining.m: a practical method of calculating the skeleton of the image refinement coins.bmp lenna.bmp woman_v7_5.bmp: original gray-scale image results folder: Save the experiment generated images and the program flow chart
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Size: 721920 |
Author: 许胜强 |
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Description: 使用Kittler方法进行的图像二值化源码，这是区别于Otsu的另一类全局二值化方法，使用Opencv进行图像数据保存-Kittler method of image binarization source, which is different from other global binarization method of Otsu, Opencv image data saved
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Size: 1024 |
Author: 李宗阳 |
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Description: Minimum Error thresholding method realized in Matlab environment based on Kittler and J. Illingworth, "Minimum error thresholding," Pattern Recognition, vol. 19, pp. 41-47, 1986.
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Size: 1024 |
Author: deki |
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Description: 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。
coins_bw_kittler.bmp: kittler 最小分类错误全局二值化结果。
coins_bw_niblack.bmp: niblack 局部二值化结果。-
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In that folder there are four matlab file, as follows:
binariztion.m: the binarization main program, call the following three binarization algorithms.
otsu.m: the otsu global binarization algorithm.
kittlerMet.m: kittler minimum classification error (minimum error thresholding) global binarization algorithm.
niblack.m: niblack local binarization algorithm.
coins.bmp: the original gray-scale images.
coins_bw_otsu.bmp: global Otsu binarization results.
coins_bw_kittler.bmp: kittler minimum classification error global binarization results.
coins_bw_niblack.bmp: niblack local binarization results.
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Size: 55296 |
Author: 小米 |
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