fast-fcm

de-speckling of noise in medical ultra sound images...

对于一幅输入的图形进行特征提取基于gabor小波变换(For an input graphics feature extraction based on wavelet transform gabor)

说明：  使用log-Gabor滤波器对图像进行滤波程序。(The use of log-Gabor filter image filtering process.)

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.)

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)

利用idl语言实现图像的数学形态学开闭重建运算，比提取梯度图像。(Idl language use mathematical morphological opening and closing image reconstruction operations, compared to extract gradient image.)

说明：  hdr图片合成，四幅不同曝光的图片合成一张hdr图片(HDR picture synthesis, four pictures of different exposures synthesize an HDR picture)

指纹图像预处理、特征提取、特征匹配的matlab程序及处理结果(Fingerprint image preprocessing, feature extraction, feature matching matlab program and processing results)

变化检测的常用方法：基于pac的变化检测方法，结果很好！(Common method of change detection: pac change detection method based on the results of good!)

labview基础视觉识别的东西，讲的很细(The basic visual recognition course of LabVIEW is very detailed.)