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OTSU
- 基于opencv2.3的大津法自适应阈值二值化算法的代码C++。含测试图片，已编译。很好用，代码一目了然，易懂。-Based on the opencv2.3 OTSU method adaptive threshold binarization algorithm C++ code. Including test images, compiled. Very good, the code be clear at a glance, to understand.
AdaptiveThreshold
- 固定阈值二值化和自适应局部阈值二值化对比分析，opencv实现-Fixed threshold value and adaptive threshold binarization comparative analysis, opencv implementation
matlab
- 二值化 灰度调整 细化1 线性滤波2 直方图 直方图均化.txt 中值滤波2.txt 自适应滤波3.txt -Binarization of gray-scale adjustment of a linear filter refinement 2 Histogram Histogram equalization. Txt median filter 2.txt adaptive filtering 3.txt Adaptive Filtering.m Linear Filte
OTSU
- OTSU方法计算图像二值化的自适应阈值 OTSU方法计算图像二值化的自适应阈值-OTSU method of adaptive image binarization threshold calculation OTSU adaptive image binarization threshold
detection1
- ,从所得二值图像中获得眼睛的候选 位置 用PCA 方法进行眼睛位置的最佳选择1 该方法解决了二值化阈值步长的自适应选取问题-From the obtained binary image in the eyes of the candidate to obtain Position using PCA method the best choice for an eye position of the solution to the two threshold values of the
otsu
- 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 t
GUImatlab
- 基于GUI的图像处理软件平台的开发 五种常用的边缘检测、灰度直方图的显示、灰度直方图的均衡化、对比度自适应直方图的均衡化、图片的二值化以及彩色图片的灰度化-GUI-based image processing software platform of five commonly used edge detection, histogram display, gray histogram equalization, adaptive histogram equalization contrast,
finger3
- 应用自适应理论和模糊理论，提出几种确定二值化阀值的具体方法。这些方法 然由简到繁，但是其灰度的局部适应性和方向的匹配性越来越强，因而得到的阀 越来越准确。-Adaptive theory and fuzzy theory, several binarization threshold to determine the specific method. However, these methods from the simple to the complex, but the intens
005
- 本文介绍一种用单片机和高速静态R A M统计直方圈数据， 并利用直方图 散据和图像变换的原理来计算图像二值化的切割阈值的方法 这种方法实现了实时自 适应图像二值化 ，并具有二值化速度快 、 教果好 电路简单 、成本低廉的特点 适用于实时图像处理。-This paper describes a single chip and high-speed static RAM with statistics Histogram data and scattered data and image
otsuadaptivethredholding
- otsu自适应阈值分割 用于图像分割二值化-otsu adaptive thresholding segmentation for image binarization
improvedBinarization
- 改进的图像二值化工程文件，自适应的二值化阈值调整，opencv-Improved binarization project file, opencv
NewShowGraphic
- 可静态显示min图片文件和动态边采图边显示图片，同时运用固定阈值法、最大类间方差法、bernsen法、niblack法、自适应阈值法等方法进行二值化-Picture files can be static and dynamic display min side edge map display pictures taken while using fixed threshold method, Otsu method, bernsen law, niblack method, adaptive
moving-object-detection-method-
- 针对视频监控系统的运动目标检测部分,介绍了以OpenCV为平台,以背景减法与帧差法为基础的检测方法。它以背景减法建立和更新背景模型,利用感兴趣区域的设置提高实时性,引入修正的大津法自适应阈值改善二值化效果,并以帧差法为补充降低虚报率及光照变化的影响。实验表明,该方法可以快速有效地对运动目标实施报警。-OpenCV-based moving object detection method and application of some of the articles I read, I feel
matlab
- matlab图像二值化自适应阈值法,不用matlab自带函数-matlab image binarization adaptive threshold method
ootsut
- otsu算法实现，可以自适应获取阈值，对图像进行二值化。里面面配有图像均衡化的程序一起使用，效果更好， -otsu algorithm adaptive obtain the threshold image binarization. Inside surface with image equalization program used together, the better
demo
- 基于论文《自适应模糊文件图像的二值化》 作者：B．Gatos I．Pratikakis S．J．Perantonis的二值化代码。对光照不匀、形变等低质量图片的二值化效果非常非常好。-The paper based on the adaptive fuzzy document image binarization" Author: B.G atos I.P ratikakis S.J.P erantonis binary code. To uneven illumination, def
adaptive-process-of-image_Matlab
- 自适应的实现了图像的二值化，在Matlab环境下，利用简单易懂的代码，成功的将图片进行了自适应的二值化。-The adaptive realization of the value of the two images, in the Matlab environment, using simple code, the success of the picture for the value of the two adaptive.
binary
- 二值化bersen算子，自适应窗口，经过优化，耗时加速10倍以上，可用于嵌入式开发-Binarization bersen operator, adaptive window, optimized, time-consuming speed more than 10 times, can be used for embedded development
Bregman
- 图像的频域增强自适应阀值二值化 指纹的细化 指纹识别-Fingerprint identify
zishiyingyuzhi
- 用于对图像进行二值化，这个程序可以根据图像的具体情况自适应的计算阈值。实验结果表明，该程序处理后的图像效果比较理想。-For image binarization, this procedure the specific circumstances of the image can be calculated adaptive threshold. Experimental results show that the program is processed image effect is id