如何用一种纯色填充 OpenCV 图像？

Using the OpenCV C API with IplImage* img:

Use cvSet(): cvSet(img, CV_RGB(redVal,greenVal,blueVal));

Using the OpenCV C++ API with cv::Mat img, then use either:

cv::Mat::operator=(const Scalar& s) as in:

img = cv::Scalar(redVal,greenVal,blueVal);

or the more general, mask supporting, cv::Mat::setTo():

img.setTo(cv::Scalar(redVal,greenVal,blueVal));

The simplest is using the OpenCV Mat class:

img=cv::Scalar(blue_value, green_value, red_value);

where img was defined as a cv::Mat.

Here's how to do with cv2 in Python:

# Create a blank 300x300 black image
image = np.zeros((300, 300, 3), np.uint8)
# Fill image with red color(set each pixel to red)
image[:] = (0, 0, 255)

Here's more complete example how to create new blank image filled with a certain RGB color

import cv2
import numpy as np


def create_blank(width, height, rgb_color=(0, 0, 0)):
"""Create new image(numpy array) filled with certain color in RGB"""
# Create black blank image
image = np.zeros((height, width, 3), np.uint8)


# Since OpenCV uses BGR, convert the color first
color = tuple(reversed(rgb_color))
# Fill image with color
image[:] = color


return image


# Create new blank 300x300 red image
width, height = 300, 300


red = (255, 0, 0)
image = create_blank(width, height, rgb_color=red)
cv2.imwrite('red.jpg', image)

For an 8-bit (CV_8U) OpenCV image, the syntax is:

Mat img(Mat(nHeight, nWidth, CV_8U);
img = cv::Scalar(50);    // or the desired uint8_t value from 0-255

If you are using Java for OpenCV, then you can use the following code.

Mat img = src.clone(); //Clone from the original image
img.setTo(new Scalar(255,255,255)); //This sets the whole image to white, it is R,G,B value

Create a new 640x480 image and fill it with purple (red+blue):

cv::Mat mat(480, 640, CV_8UC3, cv::Scalar(255,0,255));

Note:

• height before width
• type CV_8UC3 means 8-bit unsigned int, 3 channels
• colour format is BGR

Use numpy.full. Here's a Python that creates a gray, blue, green and red image and shows in a 2x2 grid.

import cv2
import numpy as np


gray_img = np.full((100, 100, 3), 127, np.uint8)


blue_img = np.full((100, 100, 3), 0, np.uint8)
green_img = np.full((100, 100, 3), 0, np.uint8)
red_img = np.full((100, 100, 3), 0, np.uint8)


full_layer = np.full((100, 100), 255, np.uint8)


# OpenCV goes in blue, green, red order
blue_img[:, :, 0] = full_layer
green_img[:, :, 1] = full_layer
red_img[:, :, 2] = full_layer


cv2.imshow('2x2_grid', np.vstack([
np.hstack([gray_img, blue_img]),
np.hstack([green_img, red_img])
]))
cv2.waitKey(0)
cv2.destroyWindow('2x2_grid')

I personally made this python code to change the color of a whole image opened or created with openCV . I am sorry if it's not good enough , I am beginner 😚😚 .

def OpenCvImgColorChanger(img,blue = 0,green = 0,red = 0):
line = 1
ImgColumn = int(img.shape[0])-2
ImgRaw  = int(img.shape[1])-2






for j in range(ImgColumn):


for i in range(ImgRaw):


if i == ImgRaw-1:
line +=1


img[line][i][2] = int(red)
img[line][i][1] = int(green)
img[line][i][0] = int(blue)

color=(200, 100, 255) # sample of a color
img = np.full((100, 100, 3), color, np.uint8)