[英]How to change all the black pixels to white (OpenCV)?
I am new to OpenCV and I do not understand how to traverse and change all the pixels of black with colour code exact RGB(0,0,0)
to white colour RGB(255,255,255)
.我是 OpenCV 的新手,我不明白如何遍历并将颜色代码精确
RGB(0,0,0)
的所有黑色像素更改为白色RGB(255,255,255)
。 Is there any function or way to check all the pixel and if RGB(0,0,0)
the make it to RGB(255,255,255)
.是否有任何功能或方法来检查所有像素,如果
RGB(0,0,0)
使其变为RGB(255,255,255)
。
Assuming that your image is represented as a numpy
array of shape (height, width, channels)
(what cv2.imread
returns), you can do:假设您的图像表示为形状
(height, width, channels)
的numpy
数组( cv2.imread
返回的内容),您可以执行以下操作:
height, width, _ = img.shape
for i in range(height):
for j in range(width):
# img[i, j] is the RGB pixel at position (i, j)
# check if it's [0, 0, 0] and replace with [255, 255, 255] if so
if img[i, j].sum() == 0:
img[i, j] = [255, 255, 255]
A faster, mask-based approach looks like this:一种更快的基于掩码的方法如下所示:
# get (i, j) positions of all RGB pixels that are black (i.e. [0, 0, 0])
black_pixels = np.where(
(img[:, :, 0] == 0) &
(img[:, :, 1] == 0) &
(img[:, :, 2] == 0)
)
# set those pixels to white
img[black_pixels] = [255, 255, 255]
Subtract 255 from each Pixel and get the positive values only从每个像素中减去 255 并仅获得正值
For grayscale and black and white images适用于灰度和黑白图像
sub_array = 255*np.ones(28, dtype = int)
img_Invert = np.abs(np.subtract(img,sub_array))
sub_array = 255*np.ones(28, dtype = int)
img_Invert = np.abs(np.subtract(img,sub_array))
cv.rectangle(img,(0,0),(img.shape[1],img.shape[0],(255,255,255),thickness=-1)
cv.imshow('img',img)
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