Description: 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。-OTSU algorithm can be calculated adaptive threshold (for conversion to gray scale images binary images), a simple and efficient manner. The following code from the earliest to provide Ryan Dibble, after a more than Joerg.Schulenburg, R. Z. Liu amend the correction. Platform: |
Size: 1024 |
Author:林宏津 |
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Description: OTSU的算法，很好用，好不容易才找到的。
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, very good, and managed to find. 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. Platform: |
Size: 1024 |
Author:汪蔚 |
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Description: OTSU 的算法，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. Platform: |
Size: 3072 |
Author:将以 |
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Description: 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 Platform: |
Size: 1024 |
Author:刘荣辉 |
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Description: 针对类圆形堆积物图像的前景和背景在色彩或灰度上相近，难以用传统阈值分割等算法进行有效分割的问题，提出一种多方法融
合的类圆形堆积物图像区域分割策略。对图像进行滤波等一系列预分割处理后进行投影得到目标图像的外接矩形区域，以排除噪声的干扰，
在区域内采用改进的灰度共生矩阵方法进行粗分割，以解决窗口大小与分割精度的问题，采用二维OTSU 阈值分割方法对粗分割结果进行
量化。实验结果表明，该方法得到的区域分割结果边缘清晰、准确度高。-Round deposits for the prospect of images and background color or grayscale at up close, it is difficult using traditional threshold segmentation algorithm, such as the effective partition of the problem, a method of integration of many types of deposits circular image region segmentation strategy. Image filtering deal with a series of pre-partition after the target image projection external rectangular area in order to rule out the possibility of noise interference, in the region to adopt improved methods of co-occurrence matrix gray coarse segmentation to solve the window size and segmentation accuracy problem, using two-dimensional OTSU threshold segmentation method to quantify the coarse segmentation results. Experimental results show that the method of region segmentation results of the edge of a clear, high accuracy. Platform: |
Size: 141312 |
Author:子登 |
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Description: 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. Platform: |
Size: 3072 |
Author:budongwei |
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Description: 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 method of adaptive image binarization threshold, OTSU adaptive algorithm can be said to compute a single threshold (used to convert grayscale image to binary image) is simple and efficient method. The following code was first provided by the Ryan Dibble, then after more than Joerg.Schulenburg, RZLiu such modification, correction. Algorithm to the input gray-scale image histogram analysis, the histogram is divided into two parts, making the maximum distance between the two parts. Division point is obtained threshold. Are written by foreigners, the classic Oh. Platform: |
Size: 214016 |
Author:zhangxinran |
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Description: 大津法，将灰度图像转化为二值图像，选取的阀值是生成图像的方差最大-Otsu method, the grayscale image into a binary image, the selected threshold is the maximum variance of the image generated Platform: |
Size: 1024 |
Author:wrf |
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Description: 使用5509DSP进行位图的读取及一些基本操作，包括使用大津法求取灰度图像二值化的阈值RGB转灰度图、统计灰度图像的直方图信息、使用给定的阈值对图像进行二值化，CCS5.3上仿真通过。-Using 5509DSP bitmap read and some basic operations, including using the Otsu method of determining a binarization threshold value for the gray-scale image the RGB switch grayscale, statistical gray image histogram information, using a given threshold value to the image Binarization emulation by CCS5.3. Platform: |
Size: 540672 |
Author:邹振宇 |
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Description: Otsu方法是一种全局化的动态二值化方法，又叫大津法，是一种灰度图像二值化的常用算法。该算法的基本思想是：设使用某一个阈值将灰度图像根据灰度大小，分成目标部分和背景部分两类，在这两类的类内方差最小和类间方差最大的时候，得到的阈值是最优的二值化阈值。-Otsu method is a globally-oriented dynamic binary method, also known Otsu is a gray image binarization commonly used algorithms. The basic idea of the algorithm is: set a threshold value using a grayscale image based on the size of the gray, and the background section is divided into two types of target portion, between these two classes in the minimum variance and the variance of the largest class, I get the threshold is optimal binary threshold value. Platform: |
Size: 14336 |
Author:fanshengnan |
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Description: 大律法(OTSU)灰度图像阈值提取算法（C语言实现）。文件中已经有已经编译好的可执行文件，可以批量把灰度图片转化成二值化的二进制图像文件，可用于LCD显示屏视频动画的开发（例如Badapple）。
阀值是图像二值化处理中非常重要的一个参数，意思就是：如果灰度图像的像素颜色值大于该阀值就把该点当作黑色，小于该阀值就把改点当作白色。最简单的做法就是把阀值取为127（255的一半），但是这种做法是不科学的，处理后的二值化图像效果也很不理想。关于阀值的选取是一门很深的学问，有很多经典的算法用于选取该阀值，理论我就不做过多描述了，感兴趣的自己趣网络上搜索相关资料，我这里采用的是比较经典的大律法(OTSU)。-Large law (OTSU) threshold grayscale image extraction algorithm (C language). File has been compiled executable file, you can bulk of the gray image is converted to binary binary image file that can be used for the LCD display video animation development (for example Badapple).
Image binarization threshold is a very important process parameters, means: If the pixel color values gray image is larger than the threshold to put the point as a black, less than the threshold put the change point as white. The easiest way is to take the threshold of 127 (255 in half), but this approach is unscientific, binary image post-processing effects also far ideal. Select on the threshold of a very deep knowledge, there are many classical algorithms for selecting the threshold theory I do not do too much description, and search for relevant information of interest to their own interest on the network, I used here It is more classic big law (OTSU). Platform: |
Size: 404480 |
Author:WHJWNAVY |
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Description: 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 scholar Nobuyuki Otsu in 1979. It is an adaptive threshold determination method, also known as the Otsu method, or OTSU for short. It is based on the grayscale characteristics of the image and divides the image into two parts: the background and the target. The larger the variance between the background and the target, the greater the difference between the two parts that make up the image. When the part of the target is wrongly divided into backgrounds or part of the background is mis-divided into goals, the difference between the two parts will be smaller. Therefore, the segmentation that maximizes the variance between classes means that the probability of wrong division is the smallest.) Platform: |
Size: 459776 |
Author:EMC |
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Description: 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 in 1979. It is an adaptive threshold determination method, also known as the Otsu method, or OTSU for short. It is based on the grayscale characteristics of the image and divides the image into two parts: the background and the target. The larger the variance between the background and the target, the greater the difference between the two parts that make up the image. When the part of the target is wrongly divided into backgrounds or part of the background is mis-divided into goals, the difference between the two parts will be smaller.) Platform: |
Size: 743424 |
Author:EMC |
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