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binarization
- 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。
Ostu
- 该文件夹中是三种二值化算法的matlab代码，下面以otsu二值化算法实现为例进行说明： 在Matlab上运行时，可以把该文件夹设为当前目录(Current Directory) 先读入灰度图片， 图片假设保存在D盘 I = imread( D:\coins.bmp ) 二值化 I_bw = otsu(I) 查看二值化结果 figure, imshow(I_bw) -I = imread( D:\coins.bmp ) I_bw = otsu(I) fig
tuxiangfenge
- 迭代阈值选择法二值化图像与Otsu阈值选择法二值化图像比较(这个程序可直接用) 迭代阈值选择法二值化图像与Otsu阈值选择法二值化图像比较的完整matlab代码，迭代阈值选择法二值化图像与Otsu阈值选择法二值化图像比较 -Binarization images of the iterative threshold selection method and the Otsu threshold selection method binary image (this program can
OSTU
- 基于Otsu准则的运动目标检测与识别,用MATLAB实现的！-Otsu Standards-based moving target detection and identification, using MATLAB to achieve!
Image-Segmentation-Technology
- 基于点的全局阈值法，即最大类间方差法，并基于Matlab软件环境进行算法的仿真。该系统能够对图像中某些感兴趣的部分进行提取，较好地实现了图像分割-Point-based global threshold method, the Otsu method, the simulation of the algorithm based on Matlab software environment. The system is able to extract some interesting part o
Hoottsu_1de
- 用于实现灰度图像阈值分割的一维otsu方方法，matlab源程序源码 可直接使用。 -One-dimensional the otsu square method used to achieve gray image threshold segmentation, matlab source code source code can be used directly.
mul_OTSU
- 运用matlab实现Otsu算法，实时对红外图形进行处理-Use matlab to achieve the two-dimensional maximum entropy, real-time infrared graphics processing
matlabOSTU
- 用MATLAB实现OSTU最大类间方差法-Otsu method in MATLAB OSTU
background-separation
- 基于灰度直方图的otsu（大津法）改进算法实现图片前景背景分离（matlab代码，实验报告）-Improved algorithm based on gray-scale histogram the otsu (Otsu method) background picture prospects separation (Matlab code, lab report)
segmentation
- 用Matlab实现对图像的读入，边缘提取，和OTSU，双峰法的分割。-Read into Matlab realize image edge extraction and OTSU, bimodal law split.
image-segmentation
- 用matlab实现自适应图像阈值分割最大类方差法代码-Using MATLAB to achieve adaptive threshold image segmentation Otsu method code
otsu_genetic
- matlab环境下采用otsu与遗传算法相结合确定分割最优阈值-split adopt the otsu and genetic algorithm combined to determine the optimal threshold matlab environment
2D-otsu2
- 二维原始Otsu算法的MATLAB实现和其对应的文献。实现效果很好。-MATLAB realization of two-dimensional original Otsu algorithm and its corresponding literature. To achieve good results.
otsu_seg
- otsu算法 图像分割 果实自动提取 matlab -the otsu algorithm for image segmentation fruit automatic extraction of Matlab
myotsu
- 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
Otsu2d_Xiefen
- 一种二维Otsu快速算法的Matlab实现，该算法的原文参见《二维直方图区域斜分阈值分割及快速递推算法》，该文已附在内。-A two-dimensional Otsu fast algorithm Matlab realize that the original algorithm see " Two-dimensional histogram oblique segmentation area and fast recursive algorithm" , the paper
otsu_2d
- Otsu 2维分割的源代码，编程语言是Matlab，可以实现分割功能-Otsu 2D Segmentation,using Matlab
roadsegment
- 本程序是基于matlab的道路分割算法，其采用的方法是最大类间方差阈值与遗传算法-This procedure is based on the matlab path segmentation algorithm, and its approach is Otsu Threshold and Genetic Algorithms
otsu_2d
- 2维Otsu阈值法MATLAB代码，具有很好的分割效果！-2-D Otsu threshold MATLAB code, with very good segmentation results!
adaptive-binarization
- 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