RGB to HSI Color Space Conversion with MATLAB Implementation
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Resource Overview
MATLAB implementation for converting color images from RGB to HSI color space. This function can be easily integrated into your MATLAB installation directory for direct calling. Includes original test images and processed result images for visual comparison of the conversion effects. The implementation handles color space transformation algorithms and proper normalization procedures.
Detailed Documentation
This MATLAB function implements the conversion of color images from RGB (Red, Green, Blue) to HSI (Hue, Saturation, Intensity) color space. The implementation can be conveniently added to your MATLAB installation directory, allowing for direct function calls in your image processing workflows.
The conversion algorithm follows standard color space transformation principles, where Hue represents the color type, Saturation indicates color purity, and Intensity represents the brightness component. Key implementation aspects include proper handling of trigonometric calculations for hue extraction, normalization procedures for saturation values, and intensity computation as the average of RGB components.
I have included both the original test images and the processed result images, enabling clear visual assessment of the conversion effectiveness. This allows users to observe how the transformation preserves color information while separating luminance components, which is particularly useful for color-based image segmentation and analysis applications.
The function implementation includes error checking for valid RGB input ranges (0-255 or 0-1) and handles edge cases such as undefined hue values when saturation approaches zero. The code structure supports both single pixel processing and batch image conversion operations.
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