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直方图是反映一幅图像中的灰度级与出现这种灰度的概率之间的关系图。-histogram is reflected image of a gray scale and intensity of this relationship between the probability map.
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一個可擷取出 Image 中的 Pixel Slice 並顯示出 Pixel Value/Linear Distance 的直方圖, 包含 Red, Green, Blue, Intensity, Hue, Saturation 等資訊顯示, 並有資料分析.-can have just one of Pixel Image Slice showed Pixel Value / Linear Distance histogram contains Red, Green, Blue, Intensi
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数字图像矩阵数据的显示及其傅立叶变换
二维离散余弦变换的图像压缩
采用灰度变换的方法增强图像的对比度
直方图均匀化
模拟图像受高斯白噪声和椒盐噪声的影响
采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波
用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
图像的自适应魏纳滤波
运用5种不同的梯度增强法进行图像锐化
图像的高通滤波和掩模处理
用巴特沃斯（Butterwo
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这是一个关于三位图像数据直方图均衡化程序的源代码，希望对大家有用。-This is a three image data on the histogram equalization program's source code, we hope that the right useful.
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V3D-Viewer is a Dicom and \"Philips V3D 3DRA\" Medical Volume Viewer based on .Net and the VTK library. With marching cubes, 3d planes and (3D texture) volume rendering, including histogram transparency and intensity curve selection tool.
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The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
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利用差分法配合灰度拉伸对颗粒运动图像进行了处理，直方图分析表明，像素在灰度上的分布特性与颗粒运动的剧烈程度具有相关性-Difference method with the use of gray stretch of particle motion image processing, histogram analysis showed that the pixels in the gray-scale distribution characteristics of particle motion
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This paper describes basics of Image Enhancement using histogram based techniques.Image Enhancement is largely used as pre processing unit in various vision based systems. Histograms based techniques tends to improve in colour quality, intensity feat
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This file guide to you, how to work with histogram. How to draw the intensity of image following row or column. I hope you will easy to use
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图像处理工具箱，主要针对图像的灰度和直方图均衡和去噪
-Image Processing Toolbox, mainly for image intensity and histogram equalization and noise removal
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This tool launches a GUI for thresholding an intensity input image. A line on the histogram indicates the current threshold level. A binary image is displayed in the top right based on the level, click and drag the line. The output image updates auto
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⑴编程实现直方图均衡化
⑵设计完成同态滤波器，并用之改善图象质量。
⑶对某图像加入不同类型﹑不同强度的噪声（周期﹑椒盐噪声），并分别用空间域和频率域的方法抑制噪声。
-⑴ ⑵ programming histogram equalization filter design is completed with the state and used to improve the image quality. ⑶ image of a different intensity with di
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histogram of image..provides an idea about the intensity values of pixels in an image
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The aim of the assignment is to understand the concept of the image enhancement stage We need to know the technique to improve the image or better input for the image processing technique as in the assignment. In the first part of the assignment is
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BMP图像处理程序，包括模拟信道产生的高斯加性噪声；图像灰度变换；图像的拉普拉斯边缘提取；中点滤波法的debluring；图像线性模糊。
图形显示函数，包括DDA方法画直线；中点裁剪法；liang-barsky算法的窗口裁剪；种子填充算法；
随机信号处理程序，包括产生正态分布、均匀分布样本；计算其均值与方差；各样本的概率分布直方图分析；功率谱分析；样本叠加的PSD分布分析。-BMP image processing procedures, including analog channel
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图像处理作业 用matlab显示直方图 累积分布函数 加高斯噪声 再用平滑降噪 都是自己编的程序-Given the test image "Lenna" 256*256 with 256 gray levels, do the following:
1) Using MATLAB display the test image.
2) Display the intensity histogram of the test image.
3) Using the im
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This file does the detection of transitions in a video by comparing the levels of histogram intensity between two consecutive frames.
It shows a plot with the high levels of intensity, and the frames where transitions take place.
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Simple but effective example of "Region Growing" from a single seed point.
The region is iteratively grown by comparing all unallocated neighbouring pixels to the region. The difference between a pixel s intensity value and the region s mean, is
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This histogram is a graph showing
the number of pixels in an image
at each different intensity value
found in that image
For an 8 bit grayscale image there
are 256 different possible
intensities , and so the histogram
will graphic
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0下载：
This histogram is a graph showing
the number of pixels in an image
at each different intensity value
found in that image
For an 8 bit grayscale image there
are 256 different possible
intensities , and so the histogram
will graphic
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