使用 Opencv python 从图像中移除蒙版圆圈

Question

我正在尝试使用 BitWish_not 移除图像的中心，但结果并不理想。看下面。

如您所见，它并没有删除所有颜色

下面是我的代码

image = cv2.imread("icons/agta.jpg")
height,width,depth = image.shape
circle = np.zeros((height,width), np.uint8)
cv2.circle(circle,(int(width/2),int(height/2)),90,1,thickness=-1)

masked = cv2.bitwise_not(image, image, mask=circle)

cv2.imshow("masked", masked)
cv2.imwrite("hue.jpg",masked)
cv2.waitKey(0)

Answer 1

如果我理解这个问题，这是 Python/OpenCV

中的一种方法

读取输入
转换为灰色
阈值
应用形态学将其清洁为蒙版
反转遮罩并制作 3 通道
对输入应用掩码使圆变黑
保存结果

输入：

import cv2
import numpy as np

# load image
img = cv2.imread('white_circle.jpg')

# convert to gray
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# threshold input image
thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY+cv2.THRESH_OTSU)[1]

# apply morphology open and close and dilate
kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (11,11))
mask = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel)
kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (55,55))
mask = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernel)
kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3,3))
mask = cv2.morphologyEx(mask, cv2.MORPH_DILATE, kernel)

# invert mask
mask = 255 -mask

# make mask 3 channel
mask = cv2.merge([mask,mask,mask])

# apply mask to image to blacken circle area
result = img.copy()
result = cv2.bitwise_and(img, mask)

# save resulting masked image
cv2.imwrite('white_circle_thresh.jpg', thresh)
cv2.imwrite('white_circle_mask.jpg', mask)
cv2.imwrite('white_circle_masked.jpg', result)

# display result, though it won't show transparency
cv2.imshow("thresh", thresh)
cv2.imshow("mask", mask)
cv2.imshow("result", result)
cv2.waitKey(0)
cv2.destroyAllWindows()

阈值图像：

蒙版图片：

输入中的黑圈：

使用 Opencv python 从图像中移除蒙版圆圈

Remove mask circle from image using Opencv python

python

opencv

opencv-python