PYTHON+OPENCV implementation of Gaussian smoothing filter

Function:

Create two sliders to control the size of the Gaussian kernel and σ The size of this program is changed on the threshold partition of the program. The threshold splitting program is in this
Note: because σ=0 , OpenCV calculates the window size based on the σ , so, sliding from 0 σ Slider, there is a clear and blurred first edge

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(2016-5-10) to Opencv-python tutorials ' s documentation! can be downloaded

Code:

#-*-Coding:utf-8-*-ImportCv2#两个回调函数 def gaussianblursize(gaussianblur_size):    GlobalKsize ksize = gaussianblur_size *2+3    PrintKsize, SIGMA DST = Cv2. Gaussianblur (SCR, (ksize,ksize), SIGMA, Ksize) cv2.imshow (WINDOW_NAME,DST) def gaussianblursigma(gaussianblur_sigma):    GlobalSigma Sigma = gaussianblur_sigma/10.0    PrintKsize, SIGMA DST = Cv2. Gaussianblur (SCR, (ksize,ksize), SIGMA, Ksize) cv2.imshow (WINDOW_NAME,DST)#全局变量Gaussianblur_size =1Gaussianblur_sigma = theKsize =1SIGMA = theMax_value = -Max_type =6Window_name ="Gaussianblurs Demo"Trackbar_size ="Size*2+3"Trackbar_sigema ="SIGMA/10"#读入图片, the pattern is a grayscale chart, creating a windowSCR = Cv2.imread ("G:\homework\lena.bmp",0) Cv2.namedwindow (Window_name)#创建滑动条Cv2.createtrackbar (Trackbar_size, Window_name, Gaussianblur_size, Max_type, gaussianblursize) cv2.cre Atetrackbar (Trackbar_sigema, Window_name, Gaussianblur_sigma, Max_value, Gaussianblursigma)#初始化Gaussianblursize (1) Gaussianblursigma ( the)ifCv2.waitkey (0) == -: Cv2.destroyallwindows ()

Call:

Need to put pictures and cv2.pyd with gaussianblur.py in the same folder

>>>ImportOs>>>Os.chdir ("G:\homework")>>>ImportGaussianblur5  the5 1.55 1.65 1.95 2.45 2.55 2.95 3.05 3.35 3.65 3.95 4.15 4.25 4.35 4.45 4.55 4.65 4.75 4.8

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PYTHON+OPENCV implementation of Gaussian smoothing filter