计算机工程与应用2011，Vol.47Issue(8)：179-182,189,5.DOI:10.3778/j.issn.1002-8331.2011.08.053
粘连蚕卵计数方法的研究
Study on counting algorithm for overlapping silkworm ovum image.
摘要
Abstract
In the silkworm ovum image,the traditional method on counting the number of the silkworm ovum needs separation of these objects.However,there are many overlapping or conglutinating silkworm ova existing in the image,and it leads to the half-baked situation for segmentation and much trouble for the following process. To solve this problem, a new algorithm based on mesh model is proposed. It makes full use of machine-learning to avoid the process of segmentation,and the counting result is given directly by SVM.It also gives an extraction of effective texture feature and improves the precision of SVM.Compared with the traditional algorithm based on segmentation, experimental results show the high performance in both robustness and precision of the proposed method.关键词
计数/分割/支持向量机(SVM)/纹理特征/网格模型Key words
counting/ segmentation/ Support Vector Machines (SVM)/ texture feature/ mesh model分类
信息技术与安全科学引用本文复制引用
于杰,肖国强,代毅..粘连蚕卵计数方法的研究[J].计算机工程与应用,2011,47(8):179-182,189,5.基金项目
国家大学生创新实验计划(No.081063510) （No.081063510）
重庆市科委自然科学基金(No.2008BB2252). （No.2008BB2252）
