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w24e2323
- 2维Otsu自适应阈值的快速算法 --文章-two-dimensional adaptive threshold of two-dimensional fast algorithm Otsu adaptive threshold of rapid algorithm -- article
otsusuanfa
- 这是matlab的otsu处理图象的算法,请高手们指正-This is the Otsu Matlab image processing algorithms, experts used the correct
otsu
- OSTU大律法是在1979年在日本由一学者提出的一种对数字图像进行二值化的一种高效算法-ostu binary image
otsu_filterlocal
- 改进的otsu算法,计算局部otsu的值确定局部小区域。对于光照不均匀图像处理有比较好的适应- Improved otsu algorithm to calculate the value of the local otsu determine the local small area. For uneven illumination image processing has a relatively good adaptation
Otsu
- 大津律法C++程序的是实现,并不是用Opencv封装好的函数,是自己编写的算法程序-Otsu law C++ program is realized, and not with the function of Opencv package is good, is to write your own program.
wavework
- 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。-OTSU images calculated value of the two adaptive threshold, OTSU algorithm can be calculated adaptive threshold (for conversion to gray scale images binary images), a simple and efficient
otsu
- 图像分割中常见的基于阈值处理的ostu算法,是最常用的图像分割算法。-Image segmentation in the common thresholding based on the ostu algorithm is the most commonly used image segmentation algorithm.
ImageSegment
- 图像分割实例,包括Kirsch算子、Laplace算子、LOG算子、LOG(修正)算子、Prewitt算子、Roberts算子、平面拟合Roberts算法、Sobel算子、阈值分割、2维阈值分割、最佳阈值分割、Otsu算法、差影法、Hough变换等。- 图像分割实例,包括Kirsch算子、Laplace算子、LOG算子、LOG(修正)算子、Prewitt算子、Roberts算子、平面拟合Roberts算法、Sobel算子、阈值分割、2维阈值分割、最佳阈值分割、Otsu算法、差影法、Hough
otsu_1D
- Otsu算法 matlab实现 本算法是经典阈值分割法otsu算法的实现-Otsu algorithm matlab implementation
thresh_md
- OTSU算法求解图像的自动阈值其中a为输入图像矩阵 th为求到的最佳阈值-OTSU algorithm of image automatic threshold
otsu
- 图像的阈值分割,基于matlab的一维otsu聚类算法的灰度图像分割-Image threshold segmentation, matlab-based one-dimensional otsu clustering algorithm for grayscale image segmentation
matlab
- ostu图像分割阈值算法,对Ostu图像分割最优阈值进行优化处理,极大缩短了搜索图像阈值计算时间,与传统的枚举法Otsu方法相比,在计算时间上具有显著的优点(OSTU threshold image segmentation algorithm for image segmentation Ostu optimal threshold optimization process, greatly reduces the search image thresholding computation t
BuoLuoTest
- 采用ostu算法,再经形态学分析去除小面积提取菠萝果实图像。(Using ostu algorithm, and then by morphological analysis to remove small area extraction pineapple fruit image.)
ostu
- 大津法(OTSU)是一种确定图像二值化分割阈值的算法,由日本学者大津于1979年提出。从大津法的原理上来讲,该方法又称作最大类间方差法,因为按照大津法求得的阈值进行图像二值化分割后,前景与背景图像的类间方差最大(何为类间方差?原理中有介绍)。(Otsu method (OTSU) is a set of image binarization threshold segmentation algorithm, proposed by Japanese scholars ohtsu in 1979.
Otsu
- 利用matlab程序编写的图像分割代码,算法为大津阈值算法,效果很好(Using image segmentation code matlab programming algorithm, Otsu threshold algorithm, the effect is very good)
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
Gotsu
- 用遗传算法和otsu实现多彩色图像的多阈值分割 。。。。。。。。。。。。(Multi threshold segmentation based on genetic algorithm)
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.)
Graytest
- 使用超绿特征分割作物图像。具体来说,首先使用超绿特征将图像灰度化,然后经过中值滤波后,使用Otsu最大类内方差方法将图像二值化,得到分割图像。(The crop image is segmented by super green feature. Specifically, firstly, the image is grayed by Super-Green feature, and then after median filtering, the Otsu maximum intra-cla
AFWA-otsu -dim2
- 烟花算法,以及优化方法,包含数据,多输入数据等(evaluateArray.m;opt_FWA.m;explosionSparksGenerate.m)