Search - Otsu threshold

Search - Otsu threshold - List

[2D Graphic] edge_erode DL : 1: 采用％中值滤波％otsu 自动阈值计算％图像二值化％采用腐蚀的方法进行边缘检测-using median filter%% Otsu automatic threshold calculation% image binarization% of the corrosion methods Edge Detection
Date : 2025-12-26 Size : 1kb User : 陈旭
[2D Graphic] expand DL : 0: ％中值滤波％otsu 自动阈值计算％利用4个方向的roberts和进行边缘提取,并二值化％膨胀处理- Otsu median filter automatically calculate threshold using 4 direction roberts and edge detection and binarization expansion deal
Date : 2025-12-26 Size : 1kb User : 陈旭
[2D Graphic] leijian DL : 0: 类间方差阈值分割是在判决分析最小二乘法y原理基础上得出的，其算法比较简单，是一种可行的阈值选取方法-Otsu threshold segmentation analysis in the ruling principle of least squares method based on y, and its algorithm is relatively simple, is a feasible method of threshold selection
Date : 2025-12-26 Size : 14kb User : 刘波
[2D Graphic] 21878249952005920105117074328 DL : 0: 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.
Date : 2025-12-26 Size : 3kb User : 将以
[2D Graphic] _rar DL : 0: 关于数字图像处理中的Otsu算法并且可计算阀值-On digital image processing algorithms and computable Otsu threshold
Date : 2025-12-26 Size : 95kb User : lee
[2D Graphic] otsu DL : 0: otsu算法确定二值化阀值，最大类间方差是由日本学者大津(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。 -In computer vision and image processing, Otsu s method is used to automatically perform histogram shape-based image thresholding,[1] or, the reduction of a graylevel image to a binary image. The algorithm assumes that the image to be thresholded contains two classes of pixels (e.g. foreground and background) then calculates the optimum threshold separating those two classes so that their combined spread (intra-class variance) is minimal.[2] The extension of the original method to multi-level thresholding is referred to as the Multi Otsu method[3].
Date : 2025-12-26 Size : 1kb User : 白痴
[2D Graphic] otsu DL : 0: 多维OTSU阈值分割方法，能够实现二维图像多阈值分割-Multidimensional OTSU thresholding methods, able to achieve the two-dimensional image multi-threshold segmentation
Date : 2025-12-26 Size : 3kb User : 李小龙
[2D Graphic] otsu DL : 0: 多阈值的OTSU算法，用于对图像的分割，是OUTS算法的推广-OTSU algorithm for multi-threshold for image segmentation, the algorithm is to promote OUTS
Date : 2025-12-26 Size : 3kb User : 淡淡
[2D Graphic] otsu DL : 0: Otsu s method that exhaustively search for the threshold that minimizes the intra-class variance in images
Date : 2025-12-26 Size : 1kb User : pseudocode
[2D Graphic] Otsu DL : 0: 大津算法源代码加注释，功能是自动选取图像的最佳阈值，非常适合初学者！-Otsu s method annotated source code, the best feature is the automatic threshold images, very suitable for beginners!
Date : 2025-12-26 Size : 1kb User : chenglili
[2D Graphic] otsu DL : 0: 基本阈值处理算法，包括otsu和迭代阈自算法，可以直接使用-Basic threshold processing algorithms, including the otsu and iteration threshold algorithm, can be used directly
Date : 2025-12-26 Size : 3kb User : tangjun
[2D Graphic] try1 DL : 0: 二值图像的轮廓检测，借用ostu自适应阈值分割，效果良好-Contour detection binary image, to borrow otsu adaptive threshold segmentation, good effect
Date : 2025-12-26 Size : 1kb User : 陈晨
[2D Graphic] cell-counting DL : 0: 大津阈值法细胞计数，对于有颜色标记的细胞特别准确 -Otsu cell count threshold method, for a particularly accurate color labeled cells
Date : 2025-12-26 Size : 1kb User : yunfeiying
[2D Graphic] ImageSegment DL : 0: 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变换等。 Image segmentation examples, including Kirsch operator, Laplace operator, LOG operator, LOG (Amendment) operator, Prewitt operator, Roberts operator, Sobel operator, Roberts plane fitting algorithm, threshold segmentation, 2 dimensional threshold segmentation and optimal threshold segmentation, Otsu algorithm, subtraction method, Hough transform etc..
Date : 2025-12-26 Size : 3.19mb User : ycr40
[2D Graphic] 基于最大类间方差阈值与遗传算法的道路分割 DL : 0: 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.)
Date : 2025-12-26 Size : 726kb User : EMC