Opencv-python (9)--Image smoothing and filtering

I. Introduction to Functions 1, blur-image mean smoothing filter function prototype: Blur (SRC, ksize, Dst=none, Anchor=none, bordertype=none) src: Image Matrix Ksize: Filter window size 2, gaussianblur-Image Gaussian smoothing filter function prototype: Gaussianblur (SRC, ksize, Sigmax, Dst=none, Sigmay=none, Bordertype=none) SRC: Image Matrix Ksize: Filter window size Sigmax: Standard deviation 3, medianblur-image median filter function prototype: Medianblur (SRC, ksize, dst=none) src: Image Matrix Ksize: Filter window size 4, bilateralfilter-Image Bilateral filter function prototypes: Bilateralfilter (SRC, D, Sigmacolor, Sigmaspace, Dst=none, Bordertype=none) SRC: Image matrix D: Neighborhood diameter sigmacolor: color standard deviation sigmaspace: space standard deviation Two, example walkthrough 1, image mean smoothing filter code is as follows:

#encoding: Utf-8Import NumPy as Npimport cv2image = Cv2. Imread("H:\\img\\lena.jpg") Cv2. Imshow("Original", image) Cv2. Waitkey(0)#领域均值滤波Blurred = NP. Hstack([Cv2. Blur(Image, (3,3)), Cv2. Blur(Image, (5,5)), Cv2. Blur(Image, (7,7)]) Cv2. Imshow("averaged", blurred) Cv2. Waitkey(0)

The results are as follows: Original image:

Image after drawing (from left to right window width: 3, 5, 7)

2, the image Gaussian smoothing filter code is as follows:

#encoding: Utf-8Import NumPy as Npimport cv2image = Cv2. Imread("H:\\img\\lena.jpg") Cv2. Imshow("Original", image) Cv2. Waitkey(0)#高斯滤波Blurred = NP. Hstack([Cv2. Gaussianblur(Image, (3,3),0), Cv2. Gaussianblur(Image, (5,5),0), Cv2. Gaussianblur(Image, (7,7),0)]) Cv2. Imshow("Gaussian", blurred) Cv2. Waitkey(0)

The results are as follows: Original image:

Image after drawing (from left to right window width: 3, 5, 7, standard deviation is: 0)

3, the image median filter code is as follows:

#encoding: Utf-8Import NumPy as Npimport cv2image = Cv2. Imread("H:\\img\\lena.jpg") Cv2. Imshow("Original", image) Cv2. Waitkey(0)#中值滤波Blurred = NP. Hstack([Cv2. Medianblur(Image,3), Cv2. Medianblur(Image,5), Cv2. Medianblur(Image,7)]) Cv2. Imshow("Median", blurred) Cv2. Waitkey(0)

The results are as follows: Original image:

Image after drawing (from left to right window width: 3, 5, 7)

4. The Image bilateral filter code is as follows:

#encoding: Utf-8Import NumPy as Npimport cv2image = Cv2. Imread("H:\\img\\lena.jpg") Cv2. Imshow("Original", image) Cv2. Waitkey(0)#双边滤波Blurred = NP. Hstack([Cv2. Bilateralfilter(Image,5, +, +), Cv2. Bilateralfilter(Image,7, to, to), Cv2. Bilateralfilter(Image,9, A, A)]) Cv2. Imshow("Bilateral", blurred) Cv2. Waitkey(0)

The results are as follows: Original image:

Image after drawing (refer to the explanation in the above function prototype for the relevant parameter meaning)

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Opencv-python (9)--Image smoothing and filtering