Description: 图像处理完成有关直方图修改技术、平滑、锐化、几何以及频域变换等典型算法的编制，并提供对图像示例的测试结果和分析说明，开发与理论教学相配合的计算机图像处理与分析的演示系统。-image processing to complete the histogram modification technique, smooth, sharpening, geometry and the frequency domain algorithm typical transform the establishment, and provide examples of images of the test results and analysis show that Development and teaching the theory of compatible computer image processing and analysis of the demonstration system. Platform: |
Size: 2186 |
Author:qq |
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Description: 图像处理完成有关直方图修改技术、平滑、锐化、几何以及频域变换等典型算法的编制，并提供对图像示例的测试结果和分析说明，开发与理论教学相配合的计算机图像处理与分析的演示系统。-image processing to complete the histogram modification technique, smooth, sharpening, geometry and the frequency domain algorithm typical transform the establishment, and provide examples of images of the test results and analysis show that Development and teaching the theory of compatible computer image processing and analysis of the demonstration system. Platform: |
Size: 2048 |
Author:qq |
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Description: 在vs2005下做的基于多文档的数字图象处理程序,可用CImage类实现对dib图象的各种处理和变换,包括旋转,增强,缩放,平移,直方图显示,平滑,锐化-In VS2005 to do under the multi-document based on the digital image processing procedures, can be used to achieve CImage category dib images on a variety of processing and transformation, including rotation, enhancement, zoom, pan, histogram display, smooth, sharpen Platform: |
Size: 10079232 |
Author:ouyangxiaotao |
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Description: 为了对光线变化的图像进行顺利侵害，提出了一
种利用贝叶斯学习方法来进行视频图像分割的算法，印先在每个像素点处对不断变化的背景建模，同时计算每个像素点
处的颜色直方图，再用这些直方图来表示该像素点处特征向量的概率分布，然后用贝叶斯学习方法来进行判断，以确定在光线缓慢或者突然变化的时候，每个像素点是属于前景还是属于背景。-In order to change the image of light against a smooth, a Bayesian learning approach to the use of video image segmentation algorithms, printed first in each pixel point on the changing context of modeling, at the same time calculated for each pixel point Department of color histogram, and then these pixel histogram to indicate the point of the probability distribution of feature vectors, and then use Bayesian learning method to judge, to determine the slow or sudden changes in light, when each pixel is belonging to the prospect of still belonging to the background. Platform: |
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Author: |
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Description: A new approach toward target representation and localization, the central component in visual tracking
of non-rigid objects, is proposed. The feature histogram based target representations are regularized
by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functions
suitable for gradient-based optimization, hence, the target localization problem can be formulated using
the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya
coefficient as similarity measure, and use the mean shift procedure to perform the optimization. In the
presented tracking examples the new method successfully coped with camera motion, partial occlusions,
clutter, and target scale variations. Integration with motion filters and data association techniques is also
discussed. We describe only few of the potential applications: exploitation of background information,
Kalman tracking using motion models, and face tracking.-A new approach toward target representation and localization, the central component in visual trackingof non-rigid objects, is proposed. The feature histogram based target representations are regularizedby spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functionssuitable for gradient-based optimization, hence, the target localization problem can be formulated usingthe basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyyacoefficient as similarity measure, and use the mean shift procedure to perform the optimization. In thepresented tracking examples the new method successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data association techniques is alsodiscussed. We describe only few of the potential applications: exploitation of background information, Kalman tracking using motion models, and face tracking . Platform: |
Size: 2779136 |
Author: |
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Description: 可以看出投影法是一种很自然的想法，有点象灰度直方图。为了得到更好的效果，投影法经常和阈值化一起使用。由于噪声点对投影有一定的影响，所以处理前最好先做一次平滑，去除噪声。-We can see that projection is a very natural idea, a bit like a gray-scale histogram. To get better results, projection method often used in conjunction with thresholding. As the noise points to the projection to a certain extent, so best to do first before processing a smooth, remove the noise. Platform: |
Size: 33792 |
Author:zoubinbin |
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Description: 打开图片，针对图片进行放大、缩小、翻转、平滑、锐化等功能，还可以查看关于图片的一些统计信息，例如单通道的图片、所有点的像素，直方图等-This program implements the basic image processing functions. For example, it can enlarge, shrink, flip, smooth, sharpen an image. It can also show some statistical information about the image, such as pixels, histogram, etc. Platform: |
Size: 87040 |
Author:Harry |
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Description: 图像处理 用来进行图像增强 以直方图均衡化的方式对图片进行平滑处理-Image processing used for histogram equalization, image enhancement to the way the picture was smoothed Platform: |
Size: 121856 |
Author:蒋柳 |
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Description: 其中包括边缘检测腐蚀膨胀图象压缩直方图修正平滑等多种图象处理技术(Including corrosion expansion of edge detection image compression smooth histogram correction and so on the many kinds of image processing technology) Platform: |
Size: 260096 |
Author:geqeep
|
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Description: Using an image to do the following operations, image translation, image rotation, shear operations, smooth, Laplacian and Sobel operators, Gamma correction and histogram enhancement. Platform: |
Size: 1299456 |
Author:韩小贺 |
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Search - smooth histogram