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大津阈值分割法，也称最大类间方差法，利用图像的灰度分布密度函数定义图像的交叉熵。
交叉熵可看作是两个概率系统（即图像背景及目标）的信息量之间的差异。求出的交叉熵越大，则分割效果越好。
-Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-ent
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为了对光线变化的图像进行顺利侵害，提出了一
种利用贝叶斯学习方法来进行视频图像分割的算法，印先在每个像素点处对不断变化的背景建模，同时计算每个像素点
处的颜色直方图，再用这些直方图来表示该像素点处特征向量的概率分布，然后用贝叶斯学习方法来进行判断，以确定在光线缓慢或者突然变化的时候，每个像素点是属于前景还是属于背景。-In order to change the image of light against a smooth, a Bayesian learning approach t
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编写实现最优阈值方法。假设目标和背景的分布为高斯分布。程序的输入参数根据公式要求而定。将得到的值作为程序输入的参数，对图像进行分割。-Preparation methods to achieve the optimal threshold. The assumption that the distribution of the target and background for the Gaussian distribution. Procedures in accordance with th
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图像分割，具体算法参考一下论文
Zhi-Gang Tan， Xiao-Chen Heand Nelson H. C. Yung
A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation-Abstract
A novel joint region merging criterion combining region ho
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基于Gabor变换的图像纹理识别。
提出了一种改进的Gabor变换的图像纹理增强算法，将空域的纹理图像变换到联合空间频率域并将联合空间
频率域的能量分布作为掌纹的特征，Gobar滤波器在频域内对子块其主方向上频率能量分布进行滤波，特征向量进行了匹配
识别，增强特征纹线信息并对核心区域进行多方向空间频率能量滤波合成，同时也对滤波算法进行了优化，有效地减少了运
算量。-Gabor transform based image texture recognition. An improv
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A common method for real-time segmentation of
moving regions in image sequences involves “background
subtraction,” or thresholding the error between
an estimate of the image without moving objects and
the current image. The numerous approache
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粒度测定是在不精确分割图像目标的基础上，确定图像中目标的分布情况和大小-Determination of particle size in the imprecise image segmentation based on the objectives, determine the target image and size distribution
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提出了一种适用于视频监控场景的基于物理反射模型的阈值分割算法，该算法主要解决背景颜色识别受
光强非均匀分布、高光效应影响的问题．算法步骤主要包括：首先基于Phong反射模型推导出漫反射分量颜色不
变性并根据这一判定条件计算得到漫反射分量系数；其次，利用微分法则实现对模型镜面反射分量系数和镜面
反射强度指数的估计；最后，根据建立的物理反射模型实现背景阚值分割．大量实验分析结果表明，文中提出的
算法利用视频监控的物理反射模型和大量统计信息，能够更好地解决受光强非均匀分布和高光效应影响
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基于力场分布的图像处理源程序。包括基于力场的图像分割、边缘检测等。-Distribution of image processing based on force field source. Include force field-based image segmentation, edge detection.
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在DSP上是实现了灰度图象自动阀值分割，根据灰度图象的象索点灰度，邻域均值二维直方图的分布特点，给出了一个新的分割阀值判决函数。-Is realized in DSP automatic threshold gray level image segmentation, according to gray image as the gray cable, neighborhood average distribution of two-dimensional histogram, gives a
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关于前景背景分离的论文集，内容涵盖了很多方面，从差分，到高斯分布，到codebook-Background on the prospects of separation proceedings, covers many aspects, from the differential to the Gaussian distribution, the codebook, etc.
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对图片进行分水领分割后，并统计分割面积的分布函数-The picture after the watershed segmentation, and statistical division area of the distribution function
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介绍该户籍系统的功能模块，详细说明其功能的分配，以及个部分模块的细分化-The introduction of the household registration system function modules, detailing the distribution of its functions, as well as a part of the segmentation module
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分割窗口：QSplitter的使用；
它可以灵活分布窗口的布局，经常用于类似文件资源管理器的窗口设计；
-Segmentation window: the use of QSplitter
It can be flexible distribution of window layout, often used for similar documents resource manager window design
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image segmentation algorithm matlab source, it contains a large number of classic source code can display the image histogram of the distribution of gray, like using matlab A few people one-dimensional input and one-dimensional output. Approximation
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位图图像稳定区域分割的种子点选取条件，区域定义 区域分割 高斯混合模型 高斯分布 种子点选取 阈值选取 灰度范围-Bitmap image stabilization region segmentation of the seed point selection conditions, regional definition Region segmentation Gaussian mixture model Gaussian distribution The seed point select
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Mean-shift算法用于彩色图像分割，本人已经用在自己的课题上，效果挺好，该算法对遮挡、变形等情况的鲁棒性比较好，但是在背景及目标颜色的分布相类似时，效果将欠佳。-Mean-shift algorithm for color image segmentation, I have used on their own subject, effect is good, the algorithm robustness of shade, deformation, and so on and so
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根据概率密度分布，分割前景与背景，附有实验图片-According to a probability density distribution, segmentation foreground and background, experiment with picture
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Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of condi
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This paper presents a novel active contour model in a variational level set formulation for simultaneous segmentation and
bias field estimation of medical images. An energy function is formulated based on improved Kullback-Leibler distance (KLD)
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