Image translation in OpenCV

Translation is the movement of the matrix. Usually, we need to define a transformation matrix , which is a matrix with 2 rows and 3 columns

The tx and ty in the matrix represent the translation distance in the x and y directions, respectively

The translation is implemented using the radial transformation function cv2.warpAffine , whose function prototype is

 cv2.warpAffine(src, M, dsize[, dst[, flags[, borderMode[, borderValue]]]])

in

• src input image
• M 2 rows and 3 columns transformation matrix
• dsize the size of the output image
• dst optional parameter, output image, can also be used as return value
• flags optional parameter, interpolation method
• borderMode optional parameter, border mode
• borderValue optional parameter, border fill value, default is 0

Example

 import cv2 import numpy as np from sqlalchemy import column image = cv2.imread("lenna.png") cv2.imshow("original image", image) column, row, channel = image.shape # 变换矩阵，x放心移动100，y方向移动50 M = np.float32([[1, 0, 100], [0, 1, 50]]) dst=cv2.warpAffine(image, M, (column, row)) cv2.imshow('dst', dst) cv2.waitKey(0) cv2.destroyAllWindows()

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