target_pipei

将脉冲耦合神经网络PCNN和聚类结合实现灰度图像分割(will PCNN PCNN combining clustering and gray image segmentation)

Analysis of Singularities and Edge Detection using the Shearlet Transform

基于预测误差周期性的图像重采样检测程序。(Image resampling detection based on the periodicity of prediction error)

matlab回归法做图像变化检测。有图片有结果，有论文说明，可参照使用(Matlab regression method for image change detection. There are pictures of the results, there are papers, can refer to use)

混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)

说明：  使用matlab 的GUI界面，添加图像锐化增强函数，进行交互式操作(Image sharpening enhancement)

考虑雨衰 阴影 和多径影响，可直接计算得到多重分形谱,非归零型差分相位调制信号建模与仿真分析 。( Consider shadow rain attenuation and multipath effects It can be directly calculated multi-fractal spectrum, NRZ type differential phase modulation signal modeling and simulation analysis.)

MinkowskiMethod算法 ,利用自然梯度算法，一个很有用的程序。( MinkowskiMethod algorithm, Use of natural gradient algorithm, A very useful program.)

说明：  图像处理软件含帮助。毕业设计，旋转，线性变换，灰化，平滑，滤镜，反相等，功能全面！(image processing software with help. Graduation design, rotary, linear transformation, ash, smooth, filter, anti-equal, full functions!)

用六种算子(分别是gabor、拉普拉斯、priwitt、robert、sobel、wallis),对三种图象进行边缘检测比较，强烈推荐哦，是本人的毕业设计中的关键程序(The six operators (respectively gabor, Laplace, priwitt, robert, sobel, wallis), images of three edge detection comparison, strongly recommend Oh, my graduation project is a key process)