👀 Views: 25 💬 Answers: 1 📅 Created: 2025-07-02

opencv hsv color-detection image-processing Python

I'm integrating two systems and I'm working on a project using OpenCV 4.5.3 where I need to detect specific colored objects in a live video feed... I'm converting images from BGR to HSV for better color segmentation, but the detected colors aren't matching my expectations. Specifically, when I try to detect a bright green color, the filter seems to be picking up more of a yellowish hue instead. Here's the relevant portion of my code: ```python import cv2 import numpy as np # Define color range for bright green in HSV lower_green = np.array([40, 40, 40]) upper_green = np.array([80, 255, 255]) # Setup video capture cap = cv2.VideoCapture(0) while True: ret, frame = cap.read() if not ret: break # Convert BGR to HSV hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV) # Create mask for green color mask = cv2.inRange(hsv, lower_green, upper_green) # Display the results cv2.imshow('Mask', mask) if cv2.waitKey(1) & 0xFF == ord('q'): break cap.release() cv2.destroyAllWindows() ``` I’ve tried adjusting the lower and upper bounds for the green color, but it seems like even with slight changes, I still don’t get the expected results. I also ensured that the lighting conditions are consistent, but the green appears washed out, and yellowish hues are being picked up instead. I’ve tested this code under different lighting conditions and even swapped cameras, but the scenario continues. Is there a specific reason why the color detection might be failing, or any best practices I might be missing when defining the HSV ranges? Any insights would be appreciated! Any advice would be much appreciated.