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遥感图像分类工具箱Active-Learning
遥感图像分类工具箱,包含多种基于支持向量机分类器的主动学习算法(active learning toolbox, used for remote sensing data classification, includes most popular svm-based active learning algorithms.)
- 2013-05-11 14:03:27下载
- 积分:1
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dip.readAndwrite
A MFC demo which can read, write and display images
- 2010-12-22 17:11:40下载
- 积分:1
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rgb-hsv
对于读入的彩色图像在rgb和hsv域中进行均衡,并显示比较均衡效果(To read the color image in rgb and hsv domain balanced and shows the effect of a more balanced)
- 2007-12-17 10:27:35下载
- 积分:1
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Feature-point-extraction
使用GDAL库,用于遥感影像的特征点提取(Using the GDAL library, used for remote sensing image feature point extraction)
- 2011-12-25 15:11:45下载
- 积分:1
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Camshift
meanshift用于目标跟踪,用于视频序列检测目标,手动选择目标(meanshift target tracking)
- 2012-04-09 17:46:14下载
- 积分:1
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levelset segmentation biasCorrection v1
水平集(level set)的基本思想是将界面看成高一维空间中某一函数ψ(称为水平集函数)的零水平集,同时界面的演化也扩充到高一维的空间中。我们将水平集函数按照它所满足的发展方程进行演化或迭代,由于水平集函数不断进行演化,所以对应的零水平集也在不断变化,当水平集演化趋于平稳时,演化停止,得到界面形状。(The level set (level set) the basic idea is to interface as a higher dimensional space in a function (called a level set function) of the zero level set, and the interface evolution also extended to higher dimensional space. We evolve or iterate the level set function according to the evolution equation it satisfies. Because the level set function keeps evolving, so the corresponding zero level set is also changing. When the level set evolves to a stable state, the evolution stops, and the interface shape is obtained.)
- 2018-03-16 09:47:21下载
- 积分:1
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gac-upwind
gac模型的迎风方案可以实现对灰度图像的分割,分割效果还可以(gac)
- 2010-02-05 23:29:15下载
- 积分:1
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resmaps
详细介绍了常用的四中粒子重采样算法,并给出了他们的性能比较,对研究改进型粒子算法很有帮助,减轻很多工作负担(Details of the four commonly used particle resampling algorithm, and gives the performance of their comparison, the study of modified particle algorithm useful to reduce the burden of a lot of work)
- 2007-11-27 11:35:52下载
- 积分:1
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image_segmentation
image segmentation with ICM algoritm
- 2011-12-27 05:35:22下载
- 积分:1
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Retinex-of-image-enhancement
本文提出了基于Retinex可变框架模型的图像增强算法。实验证明该算法不但能有效的增强图像的质量,还能避免Retinex算法中带来的光晕效应,同时算法速度与同类型的图像增强算法比较更快速。之后,将这种理论运用到对彩色图像增强中,取得了很好的处理效果。
(使用同方知网浏览器打开)(This paper presents a framework model based on variable Retinex image enhancement algorithm. Experiments show that this algorithm not only can effectively enhance the image quality, but also to avoid the Retinex algorithm brought halo effect, and algorithm speed and the same type of image enhancement algorithm is relatively faster. After this kind of theory to the enhancement of color images, achieved good treatment effect. (Text browser to use the same side open))
- 2011-06-18 03:21:20下载
- 积分:1