opqamozationcolony

基于非负矩阵分解理论，实现多源的图像融合(Based on non-negative matrix decomposition theory, to achieve image fusion of multi-source)

水平集图像分割代码，对应论文为Li C, Xu C, Gui C, et al. Level set evolution without re-initialization: a new variational formulation[C]//Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. IEEE, 2005, 1: 430-436.(Level set image segmentation code, the corresponding papers of Li C, Xu C, Gui C, et al Level set evolution without re-initialization:.. A new variational formulation [C]// Computer Vision and Pattern Recognition, 2005 CVPR 2005 IEEE. Computer Society Conference on IEEE, 2005, 1:. 430-436.)

说明：  基于一级小波变换的将2值图像嵌入宿主图像低频子带的水印嵌入及提取算法(based on a wavelet transform the image of two images embedded host low-frequency band and the embedded watermark extraction algorithm)

将RGB格式的图片进行mosaic处理得到RawData格式的图片，然后再恢复成RGB格式彩色图片,laroche-CFA插值算法(turn an RGB picture to RawData picture，then recover the RawData picture to an RGB picture.it is called laroche-CFA.)

基于二维直方图的最大模糊熵阈值图像分割，相比于一维最大模糊熵，分割效果更好。隶属度函数采用S函数(Based on two-dimensional histogram maximum fuzzy entropy threshold image segmentation, compared to one-dimensional maximum fuzzy entropy segmentation better)

基于分片重排列技术的维数约简方法，用于特征提取。(Patch Alignment for Dimensionality Reduction，IEEETrans.，2009.)

Image Watershed Segmentation图像边缘提取(Image Watershed Segmentation Image Edge Detection)

TurboPixels超像素生成算法，matlab运行，(TurboPixels super pixel generation algorithm)

英文原本经典计算机图形学教程，PPT格式，很好的学习材料和上课资料(English was the classic computer graphics course, PPT format, good learning materials and school information)

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)