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thresh_md_OTSUhy
- 自动地otsu 二值图像分割方法，该方法也叫 基于最大类间方差地 图像二值分割方法，希望大家喜欢-otsu two automatic image segmentation methods, The method is also called for the maximum variance to image two segmentation methods, hope you like
zuidayuzhifenge
- 基于组织的粒子群优化的最大类间方差阈值图像分割
leijianfangchafenge
- 基于组织的粒子群优化的最大类间方差图像多阈值分割
otsu
- 一种改进的基于Otsu理论的图像分割方法，从算法运行速度和分割效果两方面对最大类间方差法进行改进
thresh_md
- 基于最大类间方差准则的阈值分割算法。其基本思想是对像素进行划分，通过划分得到的各类之间的距离达到最大，来确定合适的门限。
ostu
- 用最大类间方差对图象的分割，是很好的图象分割程序-Using the biggest equotion to cut the image is good scheme.
OTSU
- 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.
otsu2
- 大津阈值分割法，也称最大类间方差法，利用图像的灰度分布密度函数定义图像的交叉熵。 交叉熵可看作是两个概率系统（即图像背景及目标）的信息量之间的差异。求出的交叉熵越大，则分割效果越好。 -Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-ent
otsu
- 最大类间方差法，给出了详细的介绍，希望能对大家学习图像处理有帮助-Otsu law, gives a detailed introduction to all of us hope to be helpful to learn image processing
otsu
- 最大类间方差法原理：最大类间方差法是由日本学者大津于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法-Otsu Method: Otsu is Otsu scholars from Japan in 1979 to argue that there is an adaptive threshold to determine the method, also known Otsu method
shipin
- 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
max_sigma
- 这个程序利用最大类间方差算法求解自适应阈值，来进行图像分割的-The use of this procedure Otsu adaptive threshold algorithm to image segmentation
PSO
- 采用粒子群算法和最大类间方差相结合进行图像分割。-Using particle swarm algorithm and Otsu image segmentation combining.
threshold
- 几种二值化阈值的选取方法,包括经典的最大类间方差法，统计法-methods of threshold
OTSU2Dmy
- 灰度图像分割，二维大津法或二维最大类间方差法-2D Maximum Between Cluster Variance
otsu
- 这是个关于图像大津法分割算法的源程序，在matlab上实现。-This is about image segmentation algorithm of Otsu' s source code, in matlab to achieve.
Binarization-Transformation
- 图像处理源程序，实现二值化变换，经一幅图像灰度化后，变成二值化图像，包括大津法、最大类间方差法、一般阈值法、及文本识别最有用的Niblack法-Image processing program and realized binarization transformation, after by a gray-scale image into binary image, including the Otsu method, Otsu method, the general threshold, a
OTSU
- 最大类间方差（OTSU）法，它是一种统计判决法，不需要人为设定其他参数，是一种自动选择阈值的方法。(Maximum inter class variance (OTSU) method, which is a statistical decision method, does not need to set other parameters artificially. It is a method of automatically selecting threshold.)
基于最大类间方差阈值与遗传算法的道路分割
- 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。(The largest between-class variance method was proposed by the Japanese scholar Nobuyuki Otsu
thresh_md
- 自编实现大津算法，最大类间方差图像二值化matlab程序。(The self-compiled matlab program realizes the Otsu algorithm and maximizes the inter-class variance image binarization.)