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import cv2 as cv
import numpy as np

# 自适应方法类型：
# ADAPTIVE_THRESH_GAUSSIAN_C = 1
# ADAPTIVE_THRESH_MEAN_C = 0

src = cv.imread("../images/text1.png")
cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
cv.imshow("input", src)
h, w = src.shape[:2]

# 自适应阈值分割 adaptiveThreshold
gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
binary = cv.adaptiveThreshold(gray, 255, cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY, 25, 10)
cv.imshow("binary", binary)

result = np.zeros([h, w*2, 3], dtype=src.dtype)
result[0:h,0:w,:] = src
result[0:h,w:2*w,:] = cv.cvtColor(binary, cv.COLOR_GRAY2BGR)
cv.putText(result, "input", (10, 30), cv.FONT_ITALIC, 1.0, (0, 0, 255), 2)
cv.putText(result, "adaptive threshold", (w+10, 30), cv.FONT_ITALIC, 1.0, (0, 0, 255), 2)
cv.imshow("result", result)
cv.imwrite("D:/binary_result.png", result)

cv.waitKey(0)
cv.destroyAllWindows()

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	dst	=	cv.adaptiveThreshold(src, maxValue, adaptiveMethod, thresholdType, blockSize, C[, dst]	)