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图像的直方图均衡化，达到归一化图像的亮度目的，并增强图像的对比度,Histogram equalization image to normalized image brightness purposes, and enhance the image contrast
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LBP纹理特征提取算法。首先将检测窗口划分为16×16的小区域（cell），对于每个cell中的一个像素，将其环形邻域内的8个点（也可以是环形邻域多个点，如图 3‑ 4. 应用LBP算法的三个邻域示例所示）进行顺时针或逆时针的比较，如果中心像素值比该邻点大，则将邻点赋值为1，否则赋值为0，这样每个点都会获得一个8位二进制数（通常转换为十进制数）。然后计算每个cell的直方图，即每个数字（假定是十进制数）出现的频率（也就是一个关于每一个像素点是否比邻域内点大的一个二进制序列进行统计），然
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Histogram Extraction or Histogram Normalized on image-Histogram Extraction or Histogram Normalized on image
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图像的直方图均衡化，计算直方图，，归一化直方图。-Image histogram equalization, histogram calculation, the normalized histogram.
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用的是局部颜色特征，再说细点是用里面的区域颜色直方图的方法。把图像归一化到256X256，把图像分成4X4块，计算16个区域的颜色直方图、、、
最后计算相似度是用欧氏距离.-Using local color feature, repeat fine-point is inside the regional color histogram method. The normalized image to 256X256, the image is divided into 4X4 blocks
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The code efficiently computes the Earth Mover s Distance (EMD) between two histograms or sparse histograms (signatures). The EMD is also known as Mallows, 1st Wasserstein, Monge-Kantorovich, Match and Transporatation distances. The approach was descr
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直方图均衡化即归一化VC程序，和我上传的matlab对应，都是用于模式识别处理图像样本。-Histogram equalization that is normalized VC process, and I upload matlab counterparts, are used for pattern recognition image processing samples.
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提出了一种改进直方图映射和均值移位结合的目标跟踪算法，根据目标模型各成分直方图比例系数建立索引表，索引号为颜色值，索引内容为颜色对应的归一化目标模型直方图，在索引表中查询输入图像颜色值构建反映目标出现概率灰度图；均值移位算法在生成灰度图中快速定位目标位置。对比实验结果表明，改进的直方图映射算法从根本上抑止模型背景干扰，均值移位算法准确定位目标；系统能实时准确跟踪运动目标。-An improved histogram mapping and integration of the mean shif
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实现了一些基本的图像处理功能，包括计算图像的累积分布，提高图像的对比度，直方图均衡化，计算图像的灰度图和对累积分布函数进行归一化。-Including some basic image processing functions, including the calculation of the cumulative distribution of the image to improve image contrast, histogram equalization, grayscale imag
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各种随机分布的直方图，频谱估计图，频谱归一图-Various random distribution histogram, spectrum estimation map, the normalized frequency spectrum chart
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In histogram equalization we are trying to maximize the image contrast by applying a gray level transform which tries to flatten the resulting histogram. The gray level transform is a scaled version of the original image s cumulative histogram. That
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HISTNORM Histogram normalized
[...] = HISTNORM(...) works like HIST, but the frequency is normalized
so that area sum is 1.
Bonus usage!
[...] = HISTNORM(..., plot ) plots and returns the output arguments.
Be sure plot is the las
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One of the Histogram Technique is Histogram Specification. For getting the new gray level values, the current gray level is normalized and number of pixels is calculated. With the average of number of pixels, we get the original image for each level
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主要是对图像进行灰度处理并进行直方图规范化处理-Mainly gray-scale image processing and normalized histogram
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色相饱和度直方图（归一化RGB2）
Hue Saturation histogram (normalized RGB2)-Hue Saturation histogram (normalized RGB2)
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This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is finished, the process is as follows: quantifying the color space in non-eq
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包括画单图的直方图，均衡直方图，归一化直方图以及两幅图像的联合直方图；修正了读入图像时要在同一目录下、以及图像的格式和是否为RGB图像的限制；修正了画两幅图像联合直方图时，大小需要保持一致的限制-Paintings include single graph histogram, histogram equalization, the normalized image histogram and two joint histogram amended to read into the image
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图像的直方图均衡化，计算直方图，，归一化直方图。-Image histogram equalization, histogram calculation, the normalized histogram.
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the code implements image histogram functions like histImage (regular histogram), nhistImage (normalized histogram image) etc.
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第一是灰度图像的增强，并求其归一化直方图；第二是灰度图像的复原。此程序都是基于VC框架下。-The first is the enhancement of the grayscale image, and its normalized histogram the second is the restoration of the grayscale image. This program is based on VC framework.
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