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OTSU方法计算图像二值化的自适应阈值
- OTSU方法计算图像二值化的自适应阈值，OTSU 算法可以说是自适应计算单阈值（用来转换灰度图像为二值图像）的简单高效方法。下面的代码最早由 Ryan Dibble提供，此后经过多人Joerg.Schulenburg, R.Z.Liu 等修改，补正。算法对输入的灰度图像的直方图进行分析，将直方图分成两个部分，使得两部分之间的距离最大。划分点就是求得的阈值。都是老外写的，经典哦。-OTSU images calculated value of the two adaptive threshold,
GA
- 遗传算法，寻找f(x,y)=sinx*siny/(x*y)的最大适应值及其相应的位置。精度为0.0001种群数设定为50
自适应中心权值滤波器
- 自适应中心权值滤波器
opencv 图像的二值化
- opencv 图像的二值化，包括局部阈值，全局阈值，自适应阈值法，对初学者帮助很大-opencv image binarization, including the local threshold, the global threshold, adaptive threshold, very helpful for beginners
传统滤波方式如均值滤波，中值滤波
- 传统滤波方式如均值滤波，中值滤波，维纳滤波对图像去噪的处理以及自适应中值滤波对图像去噪。-Traditional filtering methods such as mean filtering, median filtering, wiener filtering for image denoising processing and adaptive median filter for image denoising.
matlab_image.matlab图像预处理
- matlab图像预处理，包括灰度化，对数变换，直方图均衡化，线性平滑滤波，中值滤波，自适应滤波，图像锐化，图像二值化，各类边缘检测算子等等,matlab image preprocessing, including gray-scale and logarithmic transformation, histogram equalization, linear filtering, median filtering, adaptive filtering, image sharpening, i
OTSU 算法可以说是自适应计算单阈值
- OTSU 算法可以说是自适应计算单阈值（用来转换灰度图像为二值图像）的简单高效方法,OTSU algorithm Adaptive Computing can be said to be a single threshold (used to convert grayscale image to binary image) is simple and efficient method
adaptivethresholdImageSeg_Text
- 自适应阈值的图像分割及文字提取技术，matlab，对学习基本原理有帮助,Adaptive threshold for image segmentation and text extraction technology, matlab, the basic principles of learning will help
基于Otsu法自适应阈值的图像分割研究
- 基于Otsu法自适应阈值的图像分割研究 论文,Otsu method based on adaptive threshold for image segmentation research papers
jj.rar
- 不规则光照下自适应阈值的前景背景分离算法源代码,相当好用哦,Irregular light of the prospects of adaptive threshold background separation algorithm source code, very easy to use, oh
xiaoboruanyuzhiquzao.rar
- 小波软阈值去噪，具有较高的SNR,是一种自适应阈值算法,Wavelet soft-threshold de-noising with high SNR, is an adaptive threshold algorithm
AdaptiveMedianFilter_.rar
- 自适应中值滤波 使用C#创作 欢迎下载 谢谢支持,Adaptive median filter using C# Creative welcome to download Thank you support
ostu
- ostu自适应计算单阈值（用来转换灰度图像为二值图像）的简单高效方法.-ostu Adaptive Computing single threshold (used to convert the gray image to binary image) is simple and efficient method.
Rotate
- 使用MFC编写的图像旋转算法，利用临近插值的方法实现图像旋转，并且旋转后的图像自适应窗口。-Written using the MFC image rotation algorithm, near the interpolation method used to achieve image rotation, and rotate the image after the adaptive window.
binary
- 二值化程序：实现自适应二值化。效果较好，二值化后图片较清晰-Binarization process: the realization of adaptive binarization. Better, after binarization clearer picture
GrayToWhiteBlack
- C语言实现的OTSU方法，计算图像二值化的自适应阈值-C language implementation of the OTSU method in calculating the adaptive image binarization threshold
Improved-adaptive-median-filter
- 改进的自适应中值滤波，VC++详细实现。-Improved Adaptive median filter, VC++ more to achieve.
adpmedian_h
- 课程实验的产物，自适应中值滤波，效果比较好-adaptive median filter, which has a good effect.
Filter
- 包括图像的灰度变换，laplacian锐化，中值滤波，加权中值滤波，自适应滤波，添加噪声以及图像的平滑和反色处理，图像处理效果良好-Including images of gray-scale transformation, laplacian sharpening, median filtering, the weighted median filter, adaptive filter, add noise and image smoothing and anti-color process
自适应阈值
- 最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。因此,使类间方差最大的分割意味着错分概率最小。(The largest between-class variance method was proposed by the Japanese