svd_nosie_removing

说明：  实现多视两幅图像的surf特征点提取与匹配(Achieve surf feature point extraction and matching of two multi-view images)

说明：  matlab图像处理用于目标分割，分割后的图像在用形态学滤波处理(matlab image processing for object segmentation, image segmentation using morphological filtering deal)

log Gabor小波图像纹理特征分析我小改過(log Gabor wavelet texture features of image I have little turn over)

图像去模糊处理的matlab源程序，附带源图片。是在经典图像模糊化的基础上进行恢复的，不是盲恢复(Image to fuzzy treatment matlab source, and with the source images. In classic blur image is conducted on the basis of the recovery, not blind recovery )

简单实现通用的二值形态学运算（腐蚀和膨胀、开、闭和击中击不中变换）函数(Simple realization of a universal binary morphological operations (erosion and expansion of open and close, and hit-miss transform) function)

·外部图片自动保存在本地 ·自动控制上传图片和本地化图片尺寸 ·自动给上传及本地化图片添加水印 ·自动提取首张图片为缩略图 ·自动生成任意大小缩略图 ·幻灯片模式图片展示页 ·模板分离设计,轻松设计模板 ·方便自由的模板方法,可以实现复杂多样的调用效果 (External image automatically saved in local Automatically upload pictures and localization image size Automatically upload and localize the image to add watermark Automatic extraction of the first picture thumbnail Automatically generate thumbnails of any size. - picture slide show mode. - separation of design templates, easy design templates Convenient free template method, can realize the complex effect of call)

详细说明：几个关于图像灰度变换的程序。包括图像反色，图像的对数灰度变换，指数灰度变换，线性灰度变换，灰度切割，图像平均降噪。 (Several of the image gray-scale transformation process. Including anti-color image, the image of the number of gray level transformation, index gray-scale transformation, linear gray level transformation, gray cut, the average image noise.)

本程序是使用c++开发语言编写的，功能是将bmp图像进行细化处理，比如，可以将比较粗的汉字细化成较细的汉字。(This program used c++ development language, the function is to thinning BMP image . For example, it can be more crude refining the Chinese characters into a fine characters.)

硕士学位论文:在高分辨率成像声纳系统和回波测深仪的两个控制平台的基础上对声纳图像数据的高速显示技术的研究。文中所有的程序编写都是使用C和C++语言，在WindowsXP平台下利用VC++6．0进行编译和调试的。(study for high speed display technology on sonar image data)

使用高斯消去法的AVO参数反演程序，可以检索模型层数，十分方便实用。(Using the Gauss elimination of the AVO parameter inversion procedure, you can retrieve the model layer, very convenient and practical.)