A new method for meaningful regions segmentation in natural color image is proposed in this study.After edge detecting in term of phase congruency

long edge lines are clustered using K-means algorithm based on the joint distribution of their color in image space and in color space to get meaningful seeds

while short ones are merged to eliminate the negative affection causing trivial features in images.Region growing technique is employed in color space to achieve the final segmentation results with the properly selected seeds.The proposed method overcomes the disadvantage of traditional region growing method

and applies it to color images.The meaningful segmentation results are consistent with those executed by people and have shown feasibility and effectiveness to various natural color images.