Color Image to Grayscale Image Conversion and Processing
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Image processing using MATLAB is a common technical task. In this implementation, we first convert color images to grayscale using standard conversion algorithms, typically employing the weighted method (0.299*R + 0.587*G + 0.114*B) through MATLAB's rgb2gray() function. Subsequently, we perform image rotation using imrotate() function while automatically expanding the canvas size to accommodate the rotated image dimensions. Finally, we apply mean interpolation method to smooth the image, which can be implemented using imresize() with 'bilinear' or 'bicubic' interpolation options. These processing steps enhance image data analysis and manipulation capabilities, providing smoother visual results and better handling of geometric transformations.
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