Knowee
Questions
Features
Study Tools

1. Sample an Image in Python 2. Read an Image and obtain it's complement in Python 3. Convert an Image from in python - RGB to GRAY - RGB to HSV - HSV to GRAY - RGB to CB - RGB to Binary code in python

Question

  1. Sample an Image in Python
  2. Read an Image and obtain it's complement in Python
  3. Convert an Image from in python
    • RGB to GRAY
    • RGB to HSV
    • HSV to GRAY
    • RGB to CB
    • RGB to Binary code in python
🧐 Not the exact question you are looking for?Go ask a question

Solution

Sure, here is how you can do these tasks using Python and OpenCV library:

  1. Sample an Image in Python:
import cv2
image = cv2.imread('image.jpg') # replace with your image path
  1. Read an Image and obtain its complement in Python:
import cv2
image = cv2.imread('image.jpg', cv2.IMREAD_COLOR)
complement_image = cv2.bitwise_not(image)
  1. Convert an Image in Python:
    • RGB to GRAY:
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    
    • RGB to HSV:
    hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
    
    • HSV to GRAY:
    hsv_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
    gray_image = cv2.cvtColor(hsv_image, cv2.COLOR_BGR2GRAY)
    
    • RGB to YCrCb (I'm assuming CB is YCrCb):
    ycrcb_image = cv2.cvtColor(image, cv2.COLOR_BGR2YCrCb)
    
    • RGB to Binary:
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    ret, binary_image = cv2.threshold(gray_image, 127, 255, cv2.THRESH_BINARY)
    

Please replace 'image.jpg' with the path to the image you want to process. Also, note that OpenCV reads images in BGR format by default, not RGB. So, the conversions are from BGR to the other color spaces, not RGB.

This problem has been solved

Similar Questions

1. Obtain histogram equalization for both original and negative of an image in Python. give direct one sniipit code

Youwrite a command to read the input image , to convert rgb to gray, to display output, to FFT of the input image , Display the output, display the normalized intensity value of pixel coordinates,

The above figure shows a digital picture represented as a nested list. Each element in the list stores the value of a single pixel. Each pixel is either black or white. A white pixel is represented by 1 and a black pixel by 0.Write a Python function grey_value(image) which takes an image image (represented as a list of lists like above) and returns its grey value. The grey value of a black and white picture is defined as the number of white pixels divided by the total number of pixels in the picture. Your function should return the grey value as a single floating-point number in the range 0.0 to 1.0.

from PIL import Imageimport numpy as npimport matplotlib.pyplot as pltimage = Image.open('/datasets/ds_cv_images/cat.jpg')array = np.array(image)red_channel = # < write code here >plt.imshow(red_channel)plt.colorbar()

Input image F is as given below:The compressed image is as given below:Find Bits Per Pixel .Select one:BPP=2.687BPP=8BPP=3

1/1

Upgrade your grade with Knowee

Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.