zhang_data

使用特征差别提取，通过特征差别相减，以去除高斯背景(Using the characteristics of different extraction, the characteristics of different background subtraction, to remove Gauss)

说明：  Forstner算子提取特征点 Forstner算子 提取特征点 (Forstner operator extracting feature points Forstner operator extracting feature points)

使用函数wbmpen获取小波去噪阈值,然后使用函数wbmpen实现信号去噪(Use function wbmpen threshold for wavelet de-noising, and then use the function wbmpen for signal denoising)

小球沿斜线运动,可以扩展到其他程序中，第一次上传，谢谢。(a ball along with a line.)

自己用MATLAB编的一维信号数学形态学的腐蚀与膨胀运算以及开闭运算，可用于滤去信号中的尖锐脉冲信号，适合于用于振动信号的预处理(Own series of one-dimensional signal using MATLAB mathematical morphology, corrosion and expansion of operations, as well as the opening and closing operation can be used to filter the signal sharp pulse signal suitable for vibration signal preprocessing)

基于otsu的自适应阀值canny边缘检测(adaptive canny edge detection based on otsu)

实现图像配准和计算配准均方根误差的功能，人工选取控制点，包括四种转换方法。(Achieve image registration and registration RMSE calculation function, manual selection control points, including four kinds of conversion methods.)

数字图像处理，冈萨雷斯，Matlab版，第四章，输入命令，以及图像，运行时只需修改图像地址即可(Digital Image Processing, Gonzalez, Matlab, Chapter IV, enter the command, as well as images, run-time only to modify the image address to)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV）。截止2014年8月，该论文单篇被引次数达25000余次。(SIFT, namely Scale Invariant Feature Transform (Scale-invariant feature transform, SIFT), it is a description for image processing. This description has scale invariance, can detect critical point in the image, it is a local feature descriptor. [1] The method in 1999 by David Lowe [2] First published in the International Conference on Computer Vision (International Conference on Computer Vision, ICCV), 2004 was again perfect finishing after David Lowe published in the International journal of computer vision (IJCV) . As of August 2014, the paper cited the number of times a single article of more than 25,000 times.)

说明：  可用于图像分割、识别分类、语音识别等的代码实现(Recognition classification)