Abstract
Image segmentation is an important subject for image recognition. Here, we propose a new image segmentation method for scene images. The proposed segmentation method classifies images into several segments based on the human visual sense and achromatic color. We calculate the histograms of the image for each component of the hue, saturation, and intensity (HSI) color space, and obtain three results of image segmentation from each histogram. We consider achromatic colors in order to decrease the number of regions. We compare the results of the proposed method with those of the k-means methods for the effectiveness of the proposed method.
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This work was presented, in part, at the 10th International Symposium on Artificial Life and Robotics, Oita, Japan, February 4–6, 2005
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Ito, S., Yoshioka, M., Omatu, S. et al. An image segmentation method using histograms and the human characteristics of HSI color space for a scene image. Artif Life Robotics 10, 6–10 (2006). https://doi.org/10.1007/s10015-005-0352-x
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DOI: https://doi.org/10.1007/s10015-005-0352-x