每天一練P8-Python和OpenCV做圖像處理(adaptiveThreshold)

每天一練P8 adaptiveThreshold

自適應二值化，用於解決圖片中明暗不均導致閾值設置不能有效分割圖像。

函數原型為

cv2.adaptiveThreshold(src, maxValue, adaptiveMethod, thresholdType, blockSize, C )

其中

adaptiveMethod 可選：

• ADAPTIVE_THRESH_MEAN_C
• ADAPTIVE_THRESH_GAUSSIAN_C

thresholdType 可選：

• THRESH_BINARY
• THRESH_BINARY_INV

# coding by 劉雲飛# email: liuyunfei.1314@163.com # date: 2018-4-20import cv2import numpy as np# 讀取名稱為 p8.png的圖片img = cv2.imread("p8.png",0)# 自適應二值化processed = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY,15,2)# 顯示原圖和處理後的圖像cv2.imshow("org",img)cv2.imshow("processed",processed) cv2.waitKey(0)