Background Subtraction and Binarization of Original Image
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In this process, we can employ image processing techniques to eliminate the background by subtracting it from the original image, then convert the resulting difference image into a binary format. This method enables clearer separation of target objects from the original image and facilitates subsequent analysis and processing. Using digital image processing provides enhanced detail extraction and accuracy, thereby improving our understanding and utilization of information contained in the original image. The implementation typically involves using functions like cv2.absdiff() for background subtraction and cv2.threshold() for binarization, where appropriate threshold values are selected to distinguish foreground objects from the background effectively.
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