Kernel clustering algorithm with the constraint about the image segmentation in the electronic patient record
一种基于约束关系的电子病历图像分割核聚类算法

An improved kernel clustering algorithm based on constraints was proposed, which was used to resolve the problem of the image segmentation in the electronic patient record. The proposed algorithm was designed to retouch the images before they were segmented to improve the image segmentation. The experiment adopted the kernel clustering algorithm in MRI image segmentations, and the results show that the proposed algorithm, compared with classical algorithm, is more effective in solving the inherent problems in the electronic patient record images including noises and intensity inhomogeneities, etc. And accordingly the proposed algorithms are robust and can achieve better image segmentation results.