COLOR IMAGE SEGMENTATION BASED ON SEEDED REGION GROWING WITH CANNY EDGE DETECTION

被引：0
|
作者：
Chen Hejun [1 ]
Ding Haiqiang [1 ]
He Xiongxiong [1 ]
Zhuang Hualiang [1 ]
机构：
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou, Zhejiang, Peoples R China
来源：
2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) | 2014年
关键词：
edge detection; image segmentation; intial seeds; region growing; region merging;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A method of color image segmentation by seeded region growing scheme combined with Canny edge detection is proposed. Firstly, we use Otsu method to achieve threshold arguments which make Canny edge detection more effective. Secondly, we input the achieved edge as one of the seed selection conditions to achieve initial seeds Finally, seeded region growing and region merging take into effect. Experimental results show that the performance of the proposed method is comparable to the popular counterpart.
引用
收藏
页码：683 / 686
页数：4
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