Description: 多种基于内容的视频检索镜头分割算法matlab程序，主要是检测突变，有基于直方图的方法，基于X2直方图的方法，基于像素的方法以及基于边缘轮廓法对比！对于这一领域的研究具有很好的入门作用！也是本人毕业论文所写的！视频文件建议先分离掉声音，仅保留图像系列,文件须为mpg!-A variety of content-based video retrieval lens matlab segmentation procedures, the major mutations are detected, there is histogram-based method, based on the X2 histogram method, pixel-based methods and edge contour method based on the contrast! Research in this area for a good entry role! My thesis is written! Suggest that separation of video files sound out, retaining only the image series, have to file for mpg! Platform: |
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Author:ttt |
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Description: 计算2D直方图的函数代码和1D直方图均衡化的文章 内容中有代码-2D histogram calculation code and the function of 1D histogram equalization of the article content has code Platform: |
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Author:Ming |
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Description: 基于边缘方向直方图的图像检索matlab程序，直方图为提取8个方向的的统计概率，对于花朵、人脸、汽车的检索效果很好。-Edge direction histogram based image retrieval matlab procedures, histogram for the extraction of the eight directions of statistical probability, for flowers, human faces, cars good search results. Platform: |
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Author:xiaobao |
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Description: kin Pixel Likelihoods and Skin Detection
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This Matlab code was developed for skin pixel detection in general imagery.
Non-parametric histogram-based models were trained using manually annotated
skin and non-skin pixels. A total of 14,985,845 skin pixels and 304,844,751
non-skin pixels were used.
-kin Pixel Likelihoods and Skin Detection
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This Matlab code was developed for skin pixel detection in general imagery.
Non-parametric histogram-based models were trained using manually annotated
skin and non-skin pixels. A total of 14,985,845 skin pixels and 304,844,751
non-skin pixels were used.
Platform: |
Size: 201728 |
Author:ela |
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Description: 一种基于纹理的Mean Shift目标跟踪算法Matlab源代码,论文<Robust Object Tracking using Joint Color-Texture Histogram>发表在2009年的International Journal of Pattern Recognition and Artifical Intelligence.-Matlab Code for An Texture based Mean Shift Tracking Algroithm. The paper <Robust Object Tracking using Joint Color-Texture Histogram> is published in International Journal of Pattern Recognition and Artifical Intelligence. Platform: |
Size: 3906560 |
Author:宁纪锋 |
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Description: 直方图均衡化即归一化matlab程序，编写的目的也是为了模式识别处理样本。-Histogram equalization matlab that the normalization process, the preparation was also intended to deal with sample pattern recognition. Platform: |
Size: 8192 |
Author:龙 |
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Description: Image descriptor based on Histogram of Orientated Gradients for gray-level images. This code
was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable
Classifier-Fusion Schemes: An Application To Pedestrian Detection, In: 12th International IEEE
Conference On Intelligent Transportation Systems, 2009, St. Louis, 2009. V. 1. P. 432-437. In
case of publication with this code, please cite the paper above.- Image descriptor based on Histogram of Orientated Gradients for gray-level images. This code
was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable
Classifier-Fusion Schemes: An Application To Pedestrian Detection, In: 12th International IEEE
Conference On Intelligent Transportation Systems, 2009, St. Louis, 2009. V. 1. P. 432-437. In
case of publication with this code, please cite the paper above. Platform: |
Size: 2048 |
Author:Arij |
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Description: HISTOGRAMS
Files
fitt_distribution - The function fitts a predefined distribution to the histogram of an image.
histtruncate - The function truncates the ends of an image histogram.
rank_normalization - The function performs rank normalization on an image - histogram equalization.
-HISTOGRAMS
Files
fitt_distribution - The function fitts a predefined distribution to the histogram of an image.
histtruncate - The function truncates the ends of an image histogram.
rank_normalization - The function performs rank normalization on an image - histogram equalization.
Platform: |
Size: 6144 |
Author:shiyar david |
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Description: This Matlab code was developed for skin pixel detection in general imagery.
Non-parametric histogram-based models were trained using manually annotated
skin and non-skin pixels. A total of 14,985,845 skin pixels and 304,844,751
non-skin pixels were used.
I hope you find it useful. Platform: |
Size: 699392 |
Author:shn |
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Search - histogram matlab code