Color Filtering - OpenCV with Python for Image and Video Analysis 7
In this OpenCV with Python tutorial, we're going to cover how to create a sort of filter, revisiting the bitwise operations, where we will filter for specifically a certain color, attempting to just show it. Alternatively, you could also specifically filter out a specific color, and then replace it with a scene, like we did with replacing a ROI (region of image) with something else, much like how a green screen works.
In order to filter like this you have a few options. Generally, you are probably going to convert your colors to HSV, which is "Hue Saturation Value." This can help you actually pinpoint a more specific color, based on hue and saturation ranges, with a variance of value, for example. If you wanted, you could actually produce filters based on BGR values, but this would be a bit more difficult. If you're having a hard time visualizing HSV, don't feel silly, check out the Wikipedia page on HSV, there is a very useful graphic there for you to visualize it. Hue for color, saturation for the strength of the color, and value for light is how I would best describe it personally. Now let's hop in.
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⚡
AI Lesson Summary
✦ V3 skills
🛠 Hands-on
This video teaches how to filter images and videos for specific colors using OpenCV with Python, covering topics such as HSV color space, bitwise operations, and mask application. The tutorial provides a hands-on approach to color filtering and image processing.
Key Takeaways
- Import OpenCV and NumPy
- Create a video capture object
- Read a frame from the video capture object
- Convert the frame to HSV color space
- Define a range of colors in HSV color space
- Create a mask using CV2.inRange
- Apply the mask to the frame using CV2.bitwise_and
- Show the frame, mask, and result using CV2.imshow
- Exit the program using CV2.waitKey
💡 The HSV color space is particularly useful for color filtering, as it allows for the separation of hue, saturation, and value components, making it easier to define specific color ranges.
More on: CV Basics
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