junhengzengqiangsufan

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)

基于形态学的权重自适应图像去噪；通过串并联的滤波降噪对比图，说明并联降噪的优越性(Heavy adaptive image denoising based on morphology right noise filtering by series-parallel comparison chart, show the advantages of parallel noise reduction)

针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. (For visible light and infrared images of the characteristics and difficulties, a visual and infrared image registration and integration of key technologies, namely: the use of new one-dimensional based on the largest variance between-class connectivity and the largest measuring method of image segmentation source image segmentation to better implementation of coarse image registration the use of a new type of feature point extraction method, feature points of the match and the elimination of false matches to better the implementation of image fine registration the use of new tree-based wavelet calculated to measure the achievement of the activity tree wavelet image fusion the use of self-generating neural network to achieve image fusion Xu mode.)

基于Gabor的特征提取,gabor滤波器的构造 包含中科院的虹膜库(base on gabor zhongkeyuandehongmoku)

用于无参考图像质量评价，用MATLAB语言编写(For no-reference image quality evaluation)

daisy是08年新提出来的特征描述符算法，常用在图像匹配等领域中。文件包含算法的PDF文档和算法提出者编写的相应matlab程序，大家可以根据自己的需要来利用。(A Fast Local Descriptor for Dense Matching，2008.)

图形图像处理，混合高斯图像背景估计＆更新(Graphic image processing, mixed-Gaussian background image is estimated )

基于matlab的钢筋计数方法，有ui界面(MATLAB-based steel bar counting method with UI interface)

强大的小波包分析程序，将信号分频分析，在感兴趣的频率域内抽取信号信息。(Powerful wavelet packet analysis procedures, the signal of frequency analysis, frequency domain of interest extracted signal information.)

图象处理中经常用到图象抽取和插值，本程序就是常用的双线性插值法的实现(image processing frequently used images collected and interpolation, the procedure is commonly used by the bilinear interpolation to achieve)