Image changes do not change the shape of the image. Image transformation is divided into three types: horizontal mirror, vertical mirror, diagonal image to set the size of the image is MXN, then the horizontal mirror can be by the formula I = IJ = n-j + 1 vertical mirror can be the formula I = m-i + 1J = J Diagonal Mirror can be by the formula I = m-i + 1J = n-j + 1 It is worth noting that the coordinates in OPENCV start from [0,0], so +1 of the formula needs to be changed to- 1 Here the environment is: Python: python2.7.6opencv2.4.10 version numpy: numpy-1.9.1-win32-superpack-python2.7 The following code is still taking baby beauty chart as an example of the following: import CV2.CV as Cvimage = CV. LoadImage (' angelababy.jpg ', 1) size =
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Introduction: The example of this paper describes the image processing of Python mirroring implementation method. Share to everyone for your reference. The specific analysis is as follows: Image changes do not change the shape of the image. Image transformation is divided into three types: horizontal mirror, vertical mirror, diagonal image Set Image size is MXN, then horizontal mirror can be by formula
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Introduction: This article mainly introduces the Python image grayscale transformation and image array operation related data, the need for friends can refer to the following
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Introduction: This article mainly introduces the image processing of Python images implementation method, the example analysis of the implementation of the principle of mirroring and specific operation methods, the need for friends can refer to the following
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