superpixelLattice_MATLAB_7_0

说明：  何凯明暗通道先验图像去雾算法，并用导向滤波进行透射图细化(He Kaiming's prior image defogging algorithm is used to refine the transmission image)

实现遥感图像的高斯白噪声去噪，出现不同模板的去噪效果。(Gaussian white noise, noise removal, remote sensing images, different templates denoising)

使用snake算法寻找图形的轮廓，GVF梯度代替传统方法取得了很好的效果。(Snake algorithm to find the outline of the graphics， GVF gradient instead of the traditional methods achieved good results.)

本次变成是基于matlab的有关图像压缩的仿真程序，希望能帮到大家(This is a simulation program of image compression based on MATLAB. I hope to help you.)

harris角点检测，并且实现两幅图像特征点的匹配，最终完成图像的拼接(harris corner detection, and realize two image feature point matching, the final completion of image stitching)

PIVlab - 时间分辨粒子图像测速（PIV）工具： 一种基于GUI的工具，用于预处理，分析，验证，后处理，可视化和模拟PIV数据。 使用MATLAB网络研讨会进行人脸识别代码： 使用MATLAB在线讲座的人脸识别中的主要演示文件。 Gabor特征提取： 该程序生成一个自定义Gabor滤波器组; 并使用它们提取图像特征。 主成分分析： 用于特征提取； 链码： 基于MATLAB的freeman的曲面轮廓描述(PIVlab - time resolved particle image velocimetry (PIV) tool: A GUI based tool for preprocessing, analysis, validation, post processing, visualization, and Simulation of PIV data. Using MATLAB webinar for face recognition code: The main demo file is used in MATLAB online lectures for face recognition. Gabor feature extraction: The program generates a custom Gabor filter bank and uses them to extract image features. Principal component analysis: For feature extraction; Chain code: Surface contour description of Freeman based on MATLAB)

主要用于标签文字的识别，效果比较好，实用性较强(Mainly used for the identification of the label text, the effect is better, more practical)

WPF网络流量仪表盘

肺结节检测 ，包括肺部粗提取，肺结节提取，特征提取，与特征分析，以及最后的分类！( U80BA u7D3 u53D0 u53D0 u53D0 u53D0 u53D6 uvd0 U4E0E u7279 u5F1 u5206 u6790 uFF0C u4EE5 u53CA u6700 u540E u7684 u5206 u7C7B uFF01)

2-band discrete wavelet transform (DWT) Dual-Tree Complex Wavelet Packet(The 2-band discrete wavelet transform (DWT) provides an octave-band analysis in the frequency domain, but this might not be ‘optimal’ for a given signal. The discrete wavelet packet transform (DWPT) provides a dictionary of bases over which one can search for an optimal representation (without constraining the analysis to an octave-band one) for the signal at hand. However, it is well known that both the DWT and the DWPT are shift-varying. Also, when these transforms are extended to 2-D and higher dimensions using tensor products, they do not provide a geometrically oriented analysis. The dual-tree complex wavelet transform (DT-CWT), introduced by Kingsbury, is approximately shift-invariant and provides directional analysis in 2-D and higher dimensions. In this paper, we propose a method to implement a dual-tree complex wavelet packet transform (DTCWPT), extending the DT-CWT as the DWPT extends the DWT. To find the best complex wavelet packet frame for a given signal, w)