Abstract：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.
徐 杰;施鹏飞. 基于相位一致与区域生长的自然彩色图像分割[J]. 电子学报, 2004, 32(7): 1203-1205.
XU Jie;SHI Peng-fei. Natural Color Image Segmentation Based on Phase Congruency and Region Growing. Chinese Journal of Electronics, 2004, 32(7): 1203-1205.
2004, Vol. 32 
