A modified region growing algorithm for multi-colored image object segmentation

作者：Chen Yuxi^*; Han Chongzhao

来源：Chinese Optics Letters, 2007, 5(1): 25-27.

A hybrid algorithm based on seeded region growing and k-means clustering was proposed to improve image object segmentation result. A user friendly segmentation tool was provided for the definition of objects, then k-means algorithm was utilized to cluster the selected points into k seeds-clusters, finally the seeded region growing algorithm was used for object segmentation. Experimental results show that the proposed method is suitable for segmentation of multi-colored object, while conventional seeded region growing methods can only segment uniform-colored object.

• 出版日期2007-1-10
• 单位西安交通大学