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AbstractWe investigate the problem of pedestrian detection in still images. Sliding window classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and Triggs are the state-of-the-art for this task, and we base our method
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对于一幅输入图像，将产生一幅输出图像，输出图像的每个像素点的灰度值由输入像素点决定，将感兴趣特征的对比度扩展使之占据可显示灰度级的更大部分。使一输入图像转换为在每一灰度级上都有相同的像素点数，均衡化会减少灰度级数。大多数自然图像由于其灰度值分布集中在较窄的范围之内，引起图像细节不够清楚。采用直方图修正后可使图像的灰度间距拉大或使灰度均匀分布，从而增大了反差，使图像细节清楚，达到增强的目的。-For an input image, will produce an output image, the
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This code applies local histogram equalization an input image with a view to improve its contrast ratio. The image is read, converted to grayscale and resized with the inbuilt function of MATLAB. The window size may be changed, however, the window sh
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This code applies global histogram equalization on an input image with a view to improve its contrast ratio. The image is read, converted to grayscale and resized with the inbuilt function of MATLAB. The output is definitely a better contrast image a
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This code applies local histogram equalization an input image with a view to improve its contrast ratio. The image is read, converted to grayscale and resized with the inbuilt function of MATLAB. The window size may be changed, however, the window sh
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Histogram of gradients, matlab code for grayscale images, with configurable parameters.
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苹果特征提取，按照灰度化，直方图均衡化，中值滤波，边缘检测，特征提取的顺序来
特征提取中，取得“比例系数”时，选择一张横径图片，序号与之前选择图像的相同-Apple feature extraction, according to grayscale, histogram equalization, median filtering, edge detection, feature extraction feature extraction in order to obtain "
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基于直方图的均衡化和规
定化处理的图像增强技术基本原理,给出了相关推导公式和算法 同时,以一个灰度图像为例,用MATLAB 语言实现了直
方图均衡化和规定化增强处理-Based on histogram equalization and processing requirements of the basic principles of image enhancement technology, gives the derivation of formulas and algorithm
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面部图像简单处理小程序。可以转化为灰度图。锐化、平滑、查看灰度直方图等功能-The facial image processing simple applet. Can be converted to grayscale. Sharpening, smoothing, and view the gray histogram functions
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matlab中实现直方图均衡化，图像必须是灰度图像，真彩色要转化为灰度图才能正确处理。-matlab histogram equalization, the image must be grayscale images, true color to be converted to grayscale to be processed correctly.
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编写一个单文档应用程序，添加【图像显示】菜单，点击以后在视图区能显示一幅8位灰度图，并在【查看】菜单里添加【显示直方图】一项子菜单，消息相应后弹出对话框显示右边灰度图相应的直方图。-Write a single document application, add [Image Display] menu, click on later in the view area to show an 8 grayscale, and in the [View] menu to display the hi
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分析了灰度图像的脂质体，并产生不同的大小和形状参数。-This function analyses grayscale .tif images of liposomes (or any round shaped particles).
This function applies to the image:
1. Histogram Equalization.
2. Low Pass Filter (variable size, default size 12).
3.
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直方图规定化，用于matlab图像处理。所谓直方图规定化，就是通过一个灰度映像函数，将原灰度直方图改造成所希望的直方图。所以，直方图修正的关键就是灰度映像函数。-Histogram specification for matlab image processing. The so-called histogram specification is through a grayscale image function, the original histogram transformed into
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使用MATLAB做图像处理，包括求灰度图、均衡化以及各种直方图，也可进行曲线拟合，求亮度曲面分布，和图像的均值与方差，便于学习-Use MATLAB to do image processing, including seeking grayscale, and a variety of histogram equalization, but also for curve fitting, seeking surface brightness distribution, and the mean
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包括灰级窗和直方图，中值滤波。灰级窗成功的显示需要的切片，直方图采用多种方法来实现对一幅图片的灰度化。-Including the gray-level histogram windows and median filtering. Gray level display window successful sliced need histogram using a variety of methods to achieve a picture of grayscale.
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包括彩色图像直方图计算和灰度图像直方图计算，可以作为场景图像分类的一种方法-Including color and grayscale images to calculate an image histogram histogram calculation can be used as a method of image classification scene
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imhist(I,n) displays a histogram with n bins for the intensity image I above a grayscale colorbar of length n. If you omit the argument, imhist uses a default value of n = 256 if I is a grayscale image, or n = 2 if I is a binary image.
imhist(X,
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这是一系列通过灰度映射、伽马调整、形态学变换、灰度直方图标准化等等方法来对图像细节进行增强的图像预处理matlab代码-Through a series of gray-scale map, gamma adjustment, morphological transformation, details in an image grayscale histogram normalization and so on ways to enhance the image preprocessing of
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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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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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