计算机工程与应用2011，Vol.47Issue(16)：163-165,168,4.DOI:10.3778/j.issn.1002-8331.2011.16.049
基于球向量机的图像分割
Image segmentation based on ball vector machine.
摘要
Abstract
Due to the large scale of the image data,the standard Support Vector Machine(SVM) has a high time complexity in the training process for image segmentation. In this paper,the Ball Vector Machine(BVM) is used for image segmentation in order to reduce the training time. The experimental results show that BVM has a similar segmentation effect and anti-noise performance compared to the standard SVM for image segmentation in the condition of noisy and non-noisy. However, BVM significantly consumes less training time than the standard SVM.BVM can greatly improve the overall performance of image segmentation.关键词
图像分割/支持向量机/球向量机/最小包围球/包围球Key words
image segmentation/support vector machine/ball vector machine/minimum enclosed ball/enclosed ball分类
信息技术与安全科学引用本文复制引用
蔡磊,程国建,潘华贤..基于球向量机的图像分割[J].计算机工程与应用,2011,47(16):163-165,168,4.基金项目
国家自然科学基金委资助项目(No.40572082). （No.40572082）
