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直方图阈值分割的代码-histogram thresholding segmentation code
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本程序说明的是直方图阈值的双峰法，是于阈值选取的图像分割方法-This procedure is described in the bimodal histogram thresholding method is in the threshold selection method for image segmentation
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基于MATLAB-GUI图形界面的数字图像处理软件 本系统设计基于GUI图形界面，用matlab语言编写代码，实现功能包括图象的读取、存储、显示、直方图均衡化、阈值化、小波分解、小波重构、加噪、去噪、平滑、锐化、边缘检测、图像分割等-MATLAB-GUI graphical user interface based on digital image processing software of the system design is based on GUI graphical interfa
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利用二维属性直方图的Otsu自动阈值分割方法 提出了二维属性直方图的概念 ,进而提出了一种基于二维属性直方图的图像自动阈值化方法 有利于写论文-Attributes the use of two-dimensional histogram of the Otsu threshold segmentation method automatically put forward the concept of two-dimensional histogram properties, and then
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MELANOMA-PATTERN EXTRACTION
USING HISTOGRAM-THRESHOLDING APPROACH
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8 functions for histogram thresholding: intermeans, iterative intermeans, intermode, minimum, minerror, entropy, triangle and moments.
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image prcessing: histogram, negative, thresholding
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We have added following files in matlab
1.global thresholding
2.Histogram equalization
3.low and high pass filtering
4.various masks
5.zooming
6.power law
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模糊分割，基于混沌粒子群以及二维直方图的斜分阈值分割-Fuzzy partition, based on chaotic particle swarm and the oblique two-dimensional histogram thresholding
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阈值分割。基于二维直方图及混沌粒子群的图像分割方法-Thresholding. Based on two-dimensional histogram and chaotic particle swarm methods for image segmentation
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一个数字图像处理的GUI,包括灰度变换,形态学操作,直方图阈值化等内容-A digital image processing, GUI, including gray scale transformation, morphological operations, histogram thresholding, etc.
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matlab比较简单的直方图阈值分割方法-Histogram thresholding
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基于CVI的图像粒子分析，可以显示直方图、二值化-CVI image-based particle analysis, you can display the histogram, thresholding
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利用直方图谷点阈值方法、局部阈值法将图像二值化，文本文件，内函函数代码-Valley point using the histogram thresholding the image binarization, text file, the function code within the letter
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计算机图形与识别，分辨率二维直方图阈值分割方法-Computer graphics and identification, resolution two-dimensional histogram thresholding method
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本设计主要目的是实现染色体的识别计数。首先对图形进行预处理，将图像转化为灰度图、滤波去噪，然后对图像进行二值化，合理选取阈值，进行直方图阈值处理，最后去除图像中面积过小的杂点，最终实现识别计数。-The main purpose of this design is to achieve the identification of chromosome count. The graphical pre-processing, the image is converted to grayscale,
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给出了一种递归算法和一种小波变换与递归算法相结合的快速算法.该递推算法只需遍历二维直方图的主对角线和一条次主对角线, 与传统Otsu法的递推算法相比, 搜索空间大为减小。-arecursivealgorithmanda wavelet transfer combining withthe
recursive algorithmare shown.The recursive algorithmonly needsearchthemaindiagonal andone subdiagonal
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R分量直方图阈值分割-R component histogram thresholding
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利用直方图双峰法阈值分割法、基于最大信息熵算法、基于区域的图像分割方法和基于边缘检测方法对图像进行分割程序代码-Bimodal histogram thresholding method based on maximum entropy algorithm, based on the area of image segmentation and edge detection method based on image segmentation program code
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利用MATLAB中的GUI（图形用户界面），实现图像的读取，边缘检测，四叉树分解，直方图阈值分割，二值化差值的实现，并设计了退出按钮。-In MATLAB GUI (graphical user interface), to achieve image reading, edge detection, quad-tree decomposition, histogram thresholding, binary difference implementations and designed th
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