How to Improve Red Object Detection Accuracy in HSV Color Space with OpenCV?

Optimized HSV Color Space Object Detection with OpenCV

Problem:

Given an image containing a red rectangle, the task is to enhance the detection accuracy of the red color using OpenCV's cv::inRange method within the HSV color space.

Original Approach:

This approach provides unsatisfactory results.

Improved Solution:

The original approach fails to account for the "wrapping" of red color around 180 degrees in the HSV space. To address this, the H range needs to include both [0,10] and [170, 180].

This updated approach yields improved detection results.

Alternative Approach:

Another efficient method is to:

1. Invert the BGR image.
2. Convert to HSV.
3. Search for cyan color.

This alternative approach provides a single range check and produces satisfactory results.

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