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In this OpenCV tutorial, George discusses the process of splitting and merging images. He explains that splitting involves separating an image with multiple channels (like RGB) into individual matrix objects for each channel. After modifying one of these channels, the matrices are fused back into a single object with multiple channels. This technique is not only applicable to RGB images but is also relevant for Fourier transforms, where imaginary components can be added. George emphasizes the importance of starting by importing an image for demonstration, using a familiar image that he often works with.
