Description: 直方图均衡化，计算输入图像的直方图，归一化直方图，作索引表变换图像，可以归一化图像的亮度，并增强图像的对比度-Histogram equalization, histogram calculation of the input image, normalized histogram for the index table transform images, can be normalized image brightness, and contrast-enhanced images Platform: |
Size: 107520 |
Author:方方 |
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Description: 多种对图像加噪声的算法，椒盐噪声，高斯噪声。由于MATLAB自身高斯噪声函数有已经归一化问题，可能结果和自己预想不一样，所以一般都自己来加。-A variety of image plus noise algorithms, salt and pepper noise, Gaussian noise. Gaussian noise as a result of their own MATLAB functions have been normalized problem, possible outcomes and their own not the same as expected, it is generally to increase their own. Platform: |
Size: 365568 |
Author:Vincent |
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Description: 实现了直方图的规格化处理，能对图象给出直方图并规格化-Achieved normalized histogram processing, can be given to the image histogram and normalized Platform: |
Size: 5120 |
Author:汗颜 |
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Description: 边界方向的直方图统计。采用canny算法实现。
测试图片说明：（图像路径名请在main函数中AnsiString name="1.bmp" 中设定)
1.bmp、2.bmp用来测试尺度变换后图像的识别；
3.bmp、4.bmp用来测试尺度变换后图像的识别；
2.bmp、2_shift.bmp用来测试平移后图像的识别。
实现输出灰度图、平滑图、边缘图以及双阈值处理后的边缘图；
运行后文件夹应该有Image1.bmp,Image2.bmp,Image3.bmp,Image4.bmp；
实现输出灰度图、平滑图、边缘图以及双阈值处理后的边缘图；
边界直方图数据和归一化后直方图数据分别保存在histogram.txt和NormalHistogram.txt中。-Border direction histogram statistics. Canny algorithm used. Testing Photo caption: (image path name in the main function AnsiString name = 1.bmp set) 1.bmp, 2.bmp used to test scaling image identification 3.bmp, 4.bmp used to test After scaling the image identification 2.bmp, 2_shift.bmp used to test post-translational image recognition. Realize the output grayscale, smooth map, edge map, as well as dual-threshold edge map after the treatment running folder should have Image1.bmp, Image2.bmp, Image3.bmp, Image4.bmp realize grayscale output, smooth map, edge map, as well as dual-threshold edge map after the treatment border histogram data and normalized, respectively, after the histogram data stored in histogram.txt and in NormalHistogram.txt. Platform: |
Size: 4096 |
Author:方哲 |
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Description: 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, the calculation of the 16 regional color histogram, calculated similarity is Euclidean distance. Platform: |
Size: 12361728 |
Author:周文 |
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Description: 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 the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.-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 the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented. Platform: |
Size: 98304 |
Author:Harry |
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Description: 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 described in the paper:
"Fast and Robust Earth Mover s Distance" [, ].
EMD-HAT (a better definition of EMD for non-normalized histograms) was presented in the paper:
"A Linear Time Histogram Metric for Improved SIFT Matching" [, ]. -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 described in the paper:
"Fast and Robust Earth Mover s Distance" [, ].
EMD-HAT (a better definition of EMD for non-normalized histograms) was presented in the paper:
"A Linear Time Histogram Metric for Improved SIFT Matching" [, ]. Platform: |
Size: 201728 |
Author:ning |
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Description: 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. Platform: |
Size: 2933760 |
Author:龙 |
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Description: 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 shift tracking algorithm, according to the target model histogram of the ratio coefficient of each component index tables, index number for the color value, index the content for the color corresponding to the normalized histogram of target model , in the index table query input image color value for establishing the probability of targets grayscale mean shift algorithm to generate grayscale quickly locate the target location. Comparison of experimental results show that the improved histogram mapping algorithm fundamentally suppress background interference model, the mean shift algorithm for accurate targeting system is able to accurately track moving objects. Platform: |
Size: 212992 |
Author:wy |
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Description: 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 images are calculated and the cumulative distribution function normalized. Platform: |
Size: 3072 |
Author:zhang chao |
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Description: 网站商城的后台框架和模板，在后台开发总会用的到- LBP returns the local binary pattern image or LBP histogram of an image.
J LBP(I,R,N,MAPPING,MODE) returns either a local binary pattern
coded image or the local binary pattern histogram of an intensity
image I. The LBP codes are computed using N sampling points on a
circle of radius R and using mapping table defined by MAPPING.
See the getmapping function for different mappings and use 0 for
no mapping. Possible values for MODE are
h or hist to get a histogram of LBP codes
nh to get a normalized histogram
Otherwise an LBP code image is returned.
J LBP(I) returns the original (basic) LBP histogram of image I
J LBP(I,SP,MAPPING,MODE) computes the LBP codes using n sampling
points defined in (n* 2) matrix SP. The sampling points should be
defined around the origin (coordinates (0,0)).
Examples
I imread( rice.png )
mapping getmapping(8, u2 )
H1 LBP(I,1 Platform: |
Size: 17408 |
Author:明庭良 |
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Description: 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. Platform: |
Size: 16384 |
Author:BuBu1122 |
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Search - normalized histogram