xiaoboyy

1阶HMM模型多个观察值序列的评估和训练问题模型。适合用于图像纹理的去噪，分割等问题。程序用于为网友提供学习之用，由于是自编自用，所以如有不通的地方仅供参考。另由于数据较大，没有上传。(Evaluation and Training of multiObservation sequence Used by 1-order HMM)

算法工程师学习现代通信知识的基础教材，国外进口翻译版。(Algorithm Engineer learn basic knowledge of modern communication materials, imported translations.)

该代码用于对错误匹配点进行过滤操作，即去除错误的匹配点(The code is used to remove the wrong match points,and make sure the right matching.)

说明：  使用python语言实现多张图像的拼接，并且处理拼接之后的裂缝和黑边。(Use python language to achieve splicing of multiple images, and deal with cracks and black edges after splicing.)

DCT水印，简单实用，基于8*8分块的DCT域水印嵌入算法水印图像为64*64(DCT watermark, simple and practical, based on the 8* 8 sub-block DCT domain watermark image watermark embedding algorithm is 64* 64)

说明：  区域生长法的图像分割方法，效果分厂不错，值得借鉴！(Region growing image segmentation method, the effect of a good factory, worth learning!)

实现非监督的FCLS算法进行高光谱图像端元提取(Unsupervised FCLS algorithm)

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.)

利用同态滤波算法和全局直方图均衡算法对图像进行处理使之更清晰化 色彩更饱满(Homomorphic filtering algorithm and global histogram equalization algorithm are used to process the image to make it clearer and more colorful.)

细菌觅食算法与粒子群优化算法相结合的程序，可以实现适应度函数的最值计算，有很好的参考价值。(Bacterial Foraging algorithm and particle swarm optimization combined program, you can achieve the best fitness function value, and have a good reference value.)