基于改进分水岭算法的粘连大米图像分割  

Image segmentation of adhering rice based on the improved watershed algorithm

作　　者：匡芳君[1,2] 徐蔚鸿[1,3] 王艳华[3] 

机构地区：[1]南京理工大学计算机科学与技术学院,江苏南京210094 [2]湖南安全技术职业学院,湖南长沙410151 [3]长沙理工大学计算机与通信工程学院,湖南长沙410077

出　　处：《粮食与饲料工业》2010年第8期5-8,共4页Cereal & Feed Industry

基　　金：国家863计划重点项目(No.2008AA100801);教育部重点科研基金(No.208098);湖南省教育厅重点科研基金(No.07A056)

摘　　要：大米检测过程中大米图像籽粒粘连给后续大米检测、分析等处理带来较大困难,为此提出了一种有效的改进分水岭分割算法,先对二值图像采用不同的结构元素作极限腐蚀形成不同的距离图,再对这些距离图分别利用分水岭算法得到分水岭图像,最后提取真实分水岭得到最终分割图像,并与其它分水岭算法相比较。实验结果表明,该算法既能更有效地分割粘连颗粒,又能有效地抑制过分割现象。During rice detection, the touching of rice kernels in image brought a great difficulty on the posterior detection and analysis. Accordingly, an effective and improved watershed algorithm was put forward to take on limit corrosion on the binary image through different structural elements to form different distance maps. And then watershed images were obtained through watershed algorithm. At last, the actual watershed was extracted to ob tain the final segmentation image. As seen from the comparison with the other watershed algorithms, this algorithm could segment more effectively the touched kernels and inhibit the over-segmentation phenomenon.

关 键 词：粘连大米 图像分割 最大类间方差 分水岭 距离变换 极限腐蚀 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]