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OpenCV Python Color Spaces Introduction

May 14, 2024May 14, 2024 by Parwiz

In this OpenCV Python article we are going to talk about Color Spaces Introduction. so first of all let’s talk about different types of color spaces in OpenCV. What are OpenCV Color Spaces? In OpenCV Color spaces represent …

Python OpenCV Arithmetic Operations On Images

May 11, 2024May 11, 2024 by Parwiz

In this Python OpenCV article i want to show you doing of Arithmetic Operations On Images in OpenCV, so first of all let’s talk about Arithmetic Operations in OpenCV. What is Arithmetic Operations in Python OpenCV? Arithmetic …

Python OpenCV Color Trackbar

May 11, 2024May 11, 2024 by Parwiz

In this Python OpenCV tutorial we are going to talk about Python OpenCV Color Trackbar, basically we using THRESH_BINARY and THRESH_TOZERO in this article with Color Trackbar. This is the complete source code for this article

import cv2


# Function to be called when the trackbar value changes (placeholder)
def trackChanged(x):
    pass


# Create a named window to display color trackbars
cv2.namedWindow('Color Track Bar')

# Define names for the trackbars
hh = 'Max'
hl = 'Min'

# Create trackbars for maximum and minimum values
cv2.createTrackbar("Max", 'Color Track Bar', 0, 255, trackChanged)
cv2.createTrackbar("Min", 'Color Track Bar', 0, 255, trackChanged)

# Load and resize an image
img = cv2.imread('lena.tif')
img = cv2.resize(img, (0, 0), fx=0.55, fy=0.55)

while (True):
    # Get the current position of the trackbars
    hul = cv2.getTrackbarPos("Max", 'Color Track Bar')
    huh = cv2.getTrackbarPos("Min", 'Color Track Bar')

    # Apply thresholding with different methods based on the trackbar values
    ret, thresh1 = cv2.threshold(img, hul, huh, cv2.THRESH_BINARY)
    ret, thresh4 = cv2.threshold(img, hul, huh, cv2.THRESH_TOZERO)

    # Display the thresholded images
    cv2.imshow("thresh1", thresh1)
    cv2.imshow("thresh4", thresh4)

    # Break the loop if the ESC key is pressed
    if cv2.waitKey(1) == 27:
        break

# Close all windows
cv2.destroyAllWindows()

import cv2

# Function to be called when the trackbar value changes (placeholder)

def trackChanged(x):

pass

# Create a named window to display color trackbars

cv2.namedWindow('Color Track Bar')

# Define names for the trackbars

hh = 'Max'

hl = 'Min'

# Create trackbars for maximum and minimum values

cv2.createTrackbar("Max", 'Color Track Bar', 0, 255, trackChanged)

cv2.createTrackbar("Min", 'Color Track Bar', 0, 255, trackChanged)

# Load and resize an image

img = cv2.imread('lena.tif')

img = cv2.resize(img, (0, 0), fx=0.55, fy=0.55)

while (True):

# Get the current position of the trackbars

hul = cv2.getTrackbarPos("Max", 'Color Track Bar')

huh = cv2.getTrackbarPos("Min", 'Color Track Bar')

# Apply thresholding with different methods based on the trackbar values

ret, thresh1 = cv2.threshold(img, hul, huh, cv2.THRESH_BINARY)

ret, thresh4 = cv2.threshold(img, hul, huh, cv2.THRESH_TOZERO)

# Display the thresholded images

cv2.imshow("thresh1", thresh1)

cv2.imshow("thresh4", thresh4)

# Break the loop if the ESC key is pressed

if cv2.waitKey(1) == 27:

break

# Close all windows

cv2.destroyAllWindows()

…

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OpenCV

OpenCV Python Color Spaces Introduction

Python OpenCV Arithmetic Operations On Images

Python OpenCV Color Trackbar

OpenCV Python Image Blending

OpenCV Python Bitwise Operations On Images

Python OpenCV Introduction And Reading Image

Python OpenCV Reading AVI Video Format

How to Install OpenCV in Python

Python OpenCV Working with Keyboards

How to Use Color Spaces in OpenCV Python