attack

基于局部能量与模糊逻辑的红外偏振图像融合，该文与小波包，支持向量机等融合算法进行对比分析，说明该文算法的优势。(Infrared polarization image fusion based on local energy and fuzzy logic, this paper, wavelet packet, support vector machines and other fusion algorithm comparison analysis to illustrate the advantages of the proposed algorithm.)

一种可适用于复杂光照环境的低照度图像增强算法，即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正，可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现，虽然改进算法有效避免引入大量噪声，但仍有少量噪声存在，为了达到更好的视觉效果，利用改进的双边滤波对增强的图像进行处理，获得最后的增强图像。实验效果显示，该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )

说明：  用VC开发的图形填充算法，简单实用， 希望对你的图形开发有所帮助， 如果有什么问题，可以与我联系(development of the VC graphics filling algorithm, simple and practical, and I hope to your graphics development will help, if any, can contact me)

采用半隐式方案实现变分水平集图像分割方法(Active contour without edge, image segmentation)

利用FFT傅里叶变换，去除影像中的条带噪声(Removal of image noise)

基于稀疏分解的欠定盲源分离，要求信号具有一定的稀疏性。(Based on sparse decomposition due to blind source separation, the signal has a certain sparseness.)

蚁群算法实现医学图像的分割，同时对比FCM算法，非常有用，可以直接运行，包含测试MRI图片(Ant-Colony algorithm for MRI image segmentation including MRI image for testing.)

此程序为交互多模型的滤波器设计，采用了当前统计模型，跟踪效果比较理想(This program is interacting multiple model filter design, the current statistical model, the effect of tracking is ideal)

K-meansK均值聚类在无监督的情况下选择图像特征的算法(K-meansK means clustering in the case of unsupervised image feature selection algorithm)

卡尔曼滤波（扩展方法）定时定位，自己编写调试。(Kalman filter (extension methods) time positioning, write your own debugging.)