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Image-binarization
说明： 图片自适应二值化处理，二值化处理使用简单方便。(Adaptive binarization image processing, binary processing easy to use.)
- 2011-03-01 01:16:18下载
- 积分：1
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Multiscale-Normalized-Cuts-
图像处理中的多尺度分割程序，使用matlab开发环境(Image processing procedures for multiscale segmentation)
- 2011-07-13 10:59:42下载
- 积分：1
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GaussPyramid
基于matlab的高斯金字塔算法，和一般的算法不同，此算法非常详细，逐步编写(Gaussian pyramid matlab-based algorithm, and the different algorithms, this algorithm is very detailed, step by step to prepare)
- 2009-06-21 16:38:50下载
- 积分：1
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rgb
将一副图像进行rgb分离，并将R G B 的各个分量显示出来。(the sepration of rgb and show the sepration )
- 2013-02-01 00:04:32下载
- 积分：1
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IMM-target-tracking
信息融合滤波算法，基于IMM完成匀速—加速—匀速单运动目标跟踪。(Information fusion filter algorithm based on IMM to complete the uniform and accelerate uniform single moving target tracking.)
- 2012-06-25 19:17:54下载
- 积分：1
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FastTV
这是一种对TV模型算法的一种快速改进算法，C++实现，在Code::Blocks下编译成功(This is a TV model algorithm for a fast algorithm, C++ achieve, in the Code :: Blocks compile successfully under)
- 2013-09-11 22:49:48下载
- 积分：1
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inexact_alm_rpca
RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。目前最有效的算法是ALM（Augmented Lagrange Multiplier）。ALM分为Exact ALM和Inexact ALM。 该代码是Inexact ALM，收敛速度比Exact ALM快！(RPCA (Robust Principal Component Analysis) is used for matrix filling, image denoising. It is currently the most effective optimization method. Currently the most effective method is ALM (Augmented Lagrange Multiplier). There re 2 kinds of ALM: Exact ALM and Inexact ALM. The code is Inexact ALM, faster convergence speed than the Exact ALM!)
- 2010-11-02 14:07:29下载
- 积分：1
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Hough
用Visual C++实现Hough变换(Using Visual C++ Achieve Hough Transform)
- 2007-12-10 15:02:21下载
- 积分：1
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morphologic
自己用MATLAB编的一维信号数学形态学的腐蚀与膨胀运算以及开闭运算，可用于滤去信号中的尖锐脉冲信号，适合于用于振动信号的预处理(Own series of one-dimensional signal using MATLAB mathematical morphology, corrosion and expansion of operations, as well as the opening and closing operation can be used to filter the signal sharp pulse signal suitable for vibration signal preprocessing)
- 2012-10-10 14:07:02下载
- 积分：1
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Image_processing_quality_evluation
图像处理（图像融合，图像加密等）的性能评价指标集包括：平均梯度，边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。(Image processing，average gradient, edge strength, information entropy, gray mean, standard deviation (variance (MSE), are root mean square error, peak signal to noise ratio (PSNR), spatial frequency (SF), the sharpness of the image, the mutual information (MI), similar to the structure of (SSIM) and cross entropy (cross entropy). The relative standard deviation)
- 2021-04-21 17:28:49下载
- 积分：1
