Coral reefs are crucial ecosystems facing significant threats from climate change, pollution, and other human activities. Accurate assessment of coral health is essential for effective conservation and management strategies. This paper presents a novel approach to coral health assessment using superpixel-based RGB feature extraction and visualization. We propose a method that segments coral images into superpixels, extracts RGB features from each superpixel, and visualizes the resulting data to identify patterns and trends indicative of coral health. Our approach is applied to a dataset of coral images, and the results demonstrate the effectiveness of superpixel-based feature extraction in distinguishing between healthy and bleached coral samples. The visualization of RGB features reveals distinct patterns and correlations that can be used to identify coral health status. This study contributes to the development of automated coral health assessment tools, providing a valuable resource for coral reef conservation and management efforts.