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从现在起，我们与灰度图像处理。
“区域”：一个连接像素具有类似属性组
（对象或对象的一部分）。
图像
可能包含每个对象可以包含几个地区几个对象。
图像必须分成解释地区。
所谓的“分割”
两种方法来分割：
以区域为基础
像素被分配到地区使用一些标准来区别于他们的图像的其余部分-From now on, we deal with gray scale images.
“Region” : a group of c
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数字图像处理：如灰度变换、图像增强、图像滤波、图像二值化及图像分割等。程序可运行。-Digital Image Processing: gray-scale transformation, image enhancement, image filtering, image binarization and image segmentation. The program can be run.
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几种传统的图像分割源代码，包括灰度变化，阈值分割，区域分割，区域分割等方法-Several traditional image segmentation source code, including gray-scale changes, the threshold segmentation, region segmentation, region segmentation method
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首先对图像进行非线性灰度变换滤除噪声，然后利用最大类间方差阈值技术对处理后的图像进行二值化处理，最后利用积分投影定位人眼-First to utilize non-linear gray-scale transformation to filter out noises, then adopts the between-cluster variance threshold segmentation method for image binarization processing, finally
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图像的自动多阈值分割，可以进行灰度图像的自动分割。-Automatic multi-image threshold segmentation, gray-scale images can be automatically split.
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数字图像处理，实现数字图像的读取、存储、灰度变换、平滑、锐化、直方图统计、二值分割、旋转和平移等操作-Digital image processing, digital image read, store, gray-scale transformation, smoothing, sharpening, histogram, binary segmentation, rotation and translation operations
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对bmp图像实现灰度变换，中值、均值滤波，sobel等边缘检测及图像分割（固定阈值法、最大类间方差法等）-Bmp image to achieve gray-scale transformation, median, mean filtering, sobel edge detection and image segmentation, etc. (fixed threshold, Otsu, etc.)
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对bmp图像实现灰度变换，中值、均值滤波，sobel等边缘检测及图像分割（固定阈值法、最大类间方差法等）-Bmp image to achieve gray-scale transformation, median, mean filtering, sobel edge detection and image segmentation, etc. (fixed threshold, Otsu, etc.)
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HOUGH变换进行图像分割，matlab实现，先进行灰度变换-HOUGH transform for image segmentation, matlab implementation, the first gray-scale transformation
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基于形态学的图像分割，MATLAB实现，先进行灰度变换。-Image segmentation, morphology based on MATLAB implementation, the first gray-scale transformation.
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matlab实现图像分割，程序处理了压缩文件中的图片，将由灰度值构成的图转换成完全由黑白构成的图。-matlab image segmentation, handles the compressed file picture, gray scale value diagram will be converted to composed entirely of black and white composition.
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This paper presents a new algorithm for partitioning a gray-level image into connected homogeneous regions. The novelty of this
algorithm lies in the fact that, by constructing a minimum spanning tree representation of a gray-level image, it reduce
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包含几何变换，灰度变换，空域增强频域增强等图像处理的基本操作，以及图像形态学和图像分割的操作，还包含人脸检测的简单操作-Including geometric transformation, gray scale transformation, spatial enhancement and other image processing operations, as well as the operation of image segmentation and image segmentatio
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在win8系统下运行的图像处理demo，可实现灰度变换，边缘检测，图像分割等各种功能。-In the win8 system to run the image processing demo, can achieve gray-scale transformation, edge detection, image segmentation and other functions.
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数字图像分割算法一般是基于灰度值的两个基本特性之一：不连续性和相似性。前一种性质的应用途径是基于图像灰度的不连续变化分割图像，比如图像的边缘。第二种性质的主要应用途径是依据实现指定的准则将图像分割为相似的区域。区域生长算法就是基于图像的第二种性质，即图像灰度值的相似性。(Digital image segmentation algorithm is one of the two basic characteristics of gray value based on discontinuity
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