如何将所有黑色像素更改为白色(OpenCV)?
How to change all the black pixels to white (OpenCV)?
我是 OpenCV 的新手,我不明白如何遍历并将颜色代码完全 RGB(0,0,0)
的黑色的所有像素更改为白色 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)
则使其变为 RGB(255,255,255)
.
假设您的图像表示为 numpy
形状数组 (height, width, channels)
(cv2.imread
returns),您可以:
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]
更快的 mask-based 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]
从每个像素中减去 255,只得到正值
对于灰度和黑白图像
sub_array = 255*np.ones(28, dtype = int)
img_Invert = np.abs(np.subtract(img,sub_array))
cv.rectangle(img,(0,0),(img.shape[1],img.shape[0],(255,255,255),thickness=-1)
cv.imshow('img',img)
我是 OpenCV 的新手,我不明白如何遍历并将颜色代码完全 RGB(0,0,0)
的黑色的所有像素更改为白色 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)
则使其变为 RGB(255,255,255)
.
假设您的图像表示为 numpy
形状数组 (height, width, channels)
(cv2.imread
returns),您可以:
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]
更快的 mask-based 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]
从每个像素中减去 255,只得到正值
对于灰度和黑白图像
sub_array = 255*np.ones(28, dtype = int)
img_Invert = np.abs(np.subtract(img,sub_array))
cv.rectangle(img,(0,0),(img.shape[1],img.shape[0],(255,255,255),thickness=-1)
cv.imshow('img',img)