new_SPIHT

利用互信息进行特征抽取的方法实现，能找到最具代表的特征，有效的实现了计算量的减少和可用来维数缩减(The use of mutual information feature extraction method of implementation, to find the most representative characteristics of an effective implementation of the computation of the reduction and can be used to reduce the dimension)

image processing and image statistics

Probabilistic Latent Semantic Analysis模型实现，用于目标识别或文本识别(Probabilistic Latent Semantic Analysis model for target recognition or text recognition)

粒子群算法的Pareto多目标函数优化，适用于多目标问题的寻优(Particle swarm optimization Pareto multi-objective function optimization, suitable for multi-objective optimization.)

视觉注意机制一种新型的目标检测方法，该文给出了一种比较有效的处理策略(Visual attention mechanism to target a new detection method, the paper gives a more effective treatment strategies)

用matlab编写的图像压缩程序，可以实现图像的压缩(Prepared to use matlab image compression program, you can realize the image compression)

在VS2012平台上利用C++语言和opencv实现对图像的分块，并保存分块图像(Using the C++ language and OpenCV to block the image on the VS2012 platform and save the block image)

图片压缩到最小源码，例程程序结合易语言图像格式转换支持库，将快照的BMP图片转换成JPG图片，再将众多JPG图片压缩到一个压缩文件中，达到减小图片体积的效果。(Image compression to a minimum source , routine program combined image format conversion easy language support library , a snapshot of BMP images into JPG image , and then a large number of JPG images into a compressed file , to reduce the effect of image volume .)

说明：  基于hessian矩阵的frangi血管增强算法(An algorithm of vascular enhancement based on Hessian matrix)

Graph Cuts是一个图像分割方法，具有交互式分割，分割效果很好。(Graph Cuts is an image segmentation method, with interactive segmentation, segmentation works well.)