VolumiFiniti

说明：  图像分块的处理和matlab水印的提取，(Image sub-block processing and matlab watermark extraction,)

风云3号卫星投影转换工具，envi中使用，很实用。(FY-3 satellite projection conversion tool, very useful)

图像处理实习（针对遥感影像），包含许多经典的图像处理功能，比如多种植被指数计算、小波变换、镶嵌、图像分类等(Image processing internship (for remote sensing images), contains many classic image processing functions, such as a variety of vegetation indices, wavelet transform, mosaic, image classification, etc.)

主要有二个功能：1对图像进行SIFT特征值匹配2.显示相应的匹配效果，即核线 matlab语言的，加上C语言(There are two main functions: 1 images match SIFT eigenvalue 2. Shows the effect of the corresponding match, that is, nuclear line matlab language, together with the C language)

基于宽带子波的信号匹配追踪算法，该算法与常规算法的区别是原子库形状更加丰富。(Broadband wavelet-based signal matching tracking algorithm, the algorithm with the conventional algorithm richer difference is the shape of the atom library.)

MRF代码实现,visual C++ 代码，不错，可以尝试(an implementation of MRF)

FDK重建算法，是CT三维重建的解析方法，是近似重建(FDK reconstruction algorithm, which is a CT three dimensional reconstruction analysis method, is the approximate reconstruction )

该类计算图像的主分量,特征值,特征向量,并且使用主分量重构.(The main components of such calculation of the image, feature values, feature vectors, and the use of principal component reconstruction.)

基于数学形态学实现振动信号降噪。研究了数学形态滤波器对振动信号在不同类型、不同强度噪声干扰下 的降噪能力，提出了采用开一闭和闭一开组合数学形态滤波器实现旋转机械振动信号降噪处理的方法。通过仿真 计算及实例，检验了形态滤波器的滤波效果，表明数学形态滤波器可以有效剔除脉冲、降低随机噪声干扰，提高 振动信号的信噪比。(The vibration signal noise reduction based on mathematical morphology. Mathematical morphology filter vibration signals in different types, different intensity noise, noise reduction capabilities, proposes using open-closing and close the opening combination of mathematical morphology filter rotating machinery vibration signal noise reduction processing. Simulation and examples, test the morphological filters filtering effect, indicating that the mathematical morphological filter can effectively excluded the pulse, to reduce random noise and improve the signal-to-noise ratio of the vibration signal.)

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. )