Histogram Equalization Assignment Answers

Question:

Programming OpenCV – (a) Use the VideoCapture() function in OpenCV to capture yourself and use the function cv2.imwrite(‘output.jpg’, frame) to save your photo to a JPG file, (b) Use the OpenCV to generate the histogram, and (c) Apply the principle of Histogram Equalization.

while(True):

# Capture frame-by-frame

cv2.imshow('frame',gray)

if cv2.waitKey(1) & 0xFF == ord('q'):

Histogram Equalization Answer and Explanation

Here's how you can modify your code to include these functionalities:

Part (a) Capture and Save Image

    # Capture frame-by-frame

    ret, frame = cap.read()

    if cv2.waitKey(1) & 0xFF == ord('s'):

        cv2.imwrite('output.jpg', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):

        break

- This code captures frames from your camera (`VideoCapture(0)` represents the default camera).

- It displays the live feed and waits for the user to press 's' to save the current frame as `output.jpg`.

# Load the saved image

img = cv2.imread('output.jpg', 0)  # Load as grayscale

plt.xlabel('Pixel Intensity')

plt.ylabel('Frequency')

- Matplotlib is used to plot and display the histogram.

Part (c) Apply Histogram Equalization

# Apply histogram equalization

equ = cv2.equalizeHist(img)

plt.title('Original Image')

plt.axis('off')

plt.tight_layout()

plt.show()