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基于opencv2.2的大津法分割，大津法是一种自适应的阈值分割方法，应用较广，按灰度特性，将图像分为背景和目标两部分，是二值化的图像。本代码需要先行安装opencv2.2-The Otsu method based opencv2.2 split, Otsu method is an adaptive thresholding method, used widely, according to the gray-scale features, the image is divided into
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opencv图像处理实现图像的阈值化，并进行显示-opencv image processing of image thresholding, and display
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在图像中提取轮廓（用到了自适应阈值分割算法），根据目标特征，如周长、面积等参数进行筛选，得到目标的轮廓。-Contour extraction in the image (use an adaptive thresholding algorithm), depending on the target characteristics, such as perimeter, area and other parameters of screening, target profile.
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在opencv的环境下，测试图像预处理结果，亮点是测试了对灰度图先进行形态学处理再阈值分割和先阈值分割再形态学的区别。-Opencv environment in the test image pre-processing the results, highlight the first test for morphological processing of gray-scale thresholding and then thresholding again before morpholog
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MFC图像的读取显示，直方图的在PIC上显示，以及手动阀值化，opencv-MFC image to read display, histogram display on the PIC, and manual thresholding, opencv
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OPENCV 源码，对图像进行阈值操作，基本的入门程序-OPENCV source, the image thresholding operation
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使用opencv实现对图像的阈值化，包含单一阈值化与自适应阈值化-Use opencv to achieve image thresholding, containing a single thresholding and adaptive thresholding
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Image conversion, preprocessing, thresholding, inpaiting
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这是一个阈值分割的小例子，利用阈值分割把原始图片转化为二值图像和灰度图像。-This is a small example of a threshold segmentation using thresholding the original image is converted to binary and grayscale images.
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一种快速图像阈值分割法，不是otsu或迭代法，Wellner 1993快速自适应的图像二值化方法，有具体使用方法，很详细-A fast image thresholding segmentation method, not otsu or iterative methods, Wellner 1993 fast adaptive image binarization method
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自己写的有关OpenCV中图像阈值处理Otsu法的函数，可以帮助初学者更好理解自适应阈值分割的原理。（写成了头文件形式可以直接调用）-Write my own functions related to the image OpenCV Otsu thresholding method can help beginners to better understand the principles of adaptive thresholding.
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图像分割是图像识别的基础，最大熵阈值分割可以很好的将图像分割出来-Image segmentation is the basis of image recognition, maximum entropy thresholding segmentation can be a very good out
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图像的阈值分割（要求自行编写代码实现基本全局阈值方法，代替cvThreshold函数）-Image thresholding (basic requirements to write code to achieve global threshold method, instead of cvThreshold function)
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