中国激光, 2018, 45 (3): 0307013, 网络出版: 2018-03-06   

基于分水岭及半监督最小误差重构的荧光微球分割及分类方法 下载: 888次

Fluorescent Microsphere Segmentation and Classification Based on Watershed and Semi-Supervised Minor Reconstruction Error
作者单位
重庆大学光电技术及系统教育部重点实验室, 重庆 400044
摘要
针对荧光微球图像分割存在粘连及有限标记样本分类困难等问题,提出了一种基于改进分水岭及半监督最小误差重构分类器(SSMREC)的荧光微球图像分割及分类方法。采用改进分水岭方法对荧光微球图像进行分割,有效分离粘连,得到独立的荧光微球对象;对微球对象的色调(H)、饱和度(S)、明度(V)即HSV颜色空间进行非均匀量化,去除冗余信息,提取鉴别特征;采用半监督误差重构分类器实现荧光微球分类。将本文方法与线性鉴别分析分类器(LDA)、随机森林分类(RFC)、稀疏表示分类器(SRC)、K近邻分类器(KNN)、支持向量机(SVM)分类方法进行比较。实验结果显示,针对每类样本随机选取2,4,6,8个有类别标记的样本时,本文方法的总体分类精度比其他算法高3.5%~14.3%,该算法在类别标记样本量较少的情况下,能够有效提高分类精度。
Abstract
In order to solve the problem of the adhesion segmentation in fluorescent microspheres image and the classification with limited labeled samples, we propose a fluorescent microsphere segmentation and classification method based on improved watershed and semi-supervised minor reconstruction error classifier (SSMREC). Firstly, we use improved watershed method to segment the fluorescent microspheres adhesion image, and effectively separate the adhesion fluorescent microspheres into independent objects. Then we use the non-uniform quantization of Hue-Saturation-Value (HSV) color space for the microsphere objects to remove the redundant information and extract the discriminant features. Finally, the microsphere objects are classified by a semi-supervised reconstruction error classifier. We compare the proposed method with linear discriminant analysis classifier (LDA), random forest classifier (RFC), sparse representation-based classifier (SRC), K- nearest neighbor classifier (KNN), and support vector machine (SVM). The results show that the overall classification accuracy of the proposed method can be improved by 3.5%-14.3% compared with other classification methods in the case of randomly selecting 2, 4, 6, and 8 labeled samples in each class. It means that the proposed method is more effective in small number of labeled samples.

黄鸿, 金莹莹, 李政英, 段宇乐, 石光耀. 基于分水岭及半监督最小误差重构的荧光微球分割及分类方法[J]. 中国激光, 2018, 45(3): 0307013. Huang Hong, Jin Yingying, Li Zhengying, Duan Yule, Shi Guangyao. Fluorescent Microsphere Segmentation and Classification Based on Watershed and Semi-Supervised Minor Reconstruction Error[J]. Chinese Journal of Lasers, 2018, 45(3): 0307013.

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