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gaussian_model
模式识别中高斯模型，一个比较有用的用matlab实现的程序代码(pattern recognition Gaussian model, a useful comparison with the realization of the Matlab code)
- 2006-09-08 20:53:54下载
- 积分：1
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Phase_unrapping_using_Graph_cuts
用Graph cuts 来解决磁共振图像的 phase unwrapping。(Graph cuts used to solve the magnetic resonance images of the phase unwrapping.)
- 2008-03-12 15:21:43下载
- 积分：1
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eight
用MATLAB软件产生一个被高斯噪声污染的lenna图像，使用T3、T5、高斯滤波、中值滤波进行处理；(MATLAB software with a Gaussian noise pollution Lenna image, the use of T3, T5, Gaussian filtering, median filtering for processing )
- 2008-06-25 03:15:48下载
- 积分：1
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MATLAB
可见光图像飞机目标识别 模糊差影法 改进自适应阈值分割法 七阶Hu不变距(aircraft recognition)
- 2011-05-10 13:47:42下载
- 积分：1
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meng_cv
chan-vese几何活动轮廓提取 讲物体的裂痕非常精准的提取出来
非常经典的并且最新的代码 可供参考
(chan-vese geometric active contour extraction rift speak very precise object extracted from a very classic and the latest code for reference)
- 2013-09-15 15:09:47下载
- 积分：1
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Camdemo
Camshift算法，即"Continuously Adaptive Mean-Shift"算法，是一种自适应的运动跟踪算法。它主要通过视频图像中运动物体的颜色信息来达到跟踪目的。(Camshift algorithm, namely " Continuously Adaptive Mean-Shift" algorithm is an adaptive motion tracking algorithm. It is primarily the color information of the object' s movement through the video images to achieve tracking purposes.)
- 2014-01-11 19:45:29下载
- 积分：1
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MAT-PROGRAM
雷达与红外目标跟踪融合的尝试，探讨中(Target tracking radar and infrared fusion attempts to explore in)
- 2009-01-08 20:59:09下载
- 积分：1
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atrous-plusBEMD
用atrous小波变换与EMD算法相结合的图像融合(Combination of image fusion with atrous wavelet transform and EMD algorithm)
- 2012-09-14 11:01:54下载
- 积分：1
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Nonstationary
有色噪声干扰非平稳状态下，MVDR扩展凹槽滤波形成方法(With colored noise under non-steady state, the the MVDR extended groove filter forming method)
- 2012-06-05 16:55:57下载
- 积分：1
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MeFrm
说明： 傅立叶变换在图像处理中的重要作用：
(A) 图像增强与图像去噪
绝大部分噪音都是图像的高频分量，通过低通滤波器来滤除高频噪声；边缘也是图像的高频分量，可以通过添加高频分量来增强原始图像的边缘；
(B) 图像分割与边缘检测
提取图像高频分量
(C) 图像特征提取
形状特征：傅里叶描述子
纹理特征：直接通过傅里叶系数来计算纹理特征
其他特征：将提取的特征值进行傅里叶变换来使特征具有平移、伸缩、旋转不变性
(D ) 图像压缩
可以直接通过傅里叶系数来压缩数据；常用的离散余弦变换是傅立叶变换的实变换；
(Fourier transform in the important role of image processing:
(A) image enhancement and image denoising
Most of all images of high frequency noise by low pass filter to filter out high frequency noise edge is the image of the high frequency components can be enhanced by adding high frequency components to the edge of the original image
(B) Image segmentation and edge detection
High frequency components extracted image
(C) image feature extraction
Shape features: Fourier descriptors
Texture: directly through the Fourier coefficients to calculate the texture features
Other features: The characteristic value extracted by Fourier transform to the characteristics of translation, scaling, rotation invariance
(D) image compression
Fourier coefficients can be directly compressed data commonly used discrete cosine transform is the Fourier transform of the real transformation
朗读显示对应的拉丁字符的拼音)
- 2011-03-28 19:06:27下载
- 积分：1
