计算机与数字工程2024，Vol.52Issue(6)：1604-1611,8.DOI:10.3969/j.issn.1672-9722.2024.06.003
融合多重直方图和SVM的交互式图像分割算法
Interactive Image Segmentation Algorithm Combining Multiple Histogram and SVM
摘要
Abstract
Interactive image segmentation has important applications in many fields such as image editing,medical image analysis.However,many interactive image segmentation algorithms are highly dependent on user interaction information,and can-not use a small amount of information to accurately extract the target object.To address the above problems,interactive image seg-mentation combining histogram and support vector machine(MHSVM)is proposed.Given a small number of user input markers,the SLIC method is adopted to segment the original image into several irregular regions,and both the color histogram and gradient orientation histogram are applied as the feature vector of each region,then region merging is done according to the merging rule.Then,and the training samples are constructed,the number of positive and negative samples is balanced.Finally,SVM classifier is co-trained to classify the remaining unlabeled superpixels.The experimental results show that MHSVM extracts foreground objects successfully from the background.MHSVM is less affected by the user input markers in compared with the state-of-the-art interac-tive image segmentation methods,which has obvious advantages in segmentation accuracy.关键词
图像分割/超像素/支持向量机/区域合并/协同训练Key words
image segmentation/superpixel/SVM/region merging/co-trained分类
信息技术与安全科学引用本文复制引用
单一琳,马燕,黄慧,王斌..融合多重直方图和SVM的交互式图像分割算法[J].计算机与数字工程,2024,52(6):1604-1611,8.基金项目
国家自然科学基金项目(编号:61373004)资助. （编号:61373004）
