控制科学与工程学科博士学位论文答辩信息如下：

时   间： 2022年10月20日

地   点： 腾讯会议 468220783

答辩人：ZUBAIR KHAN

导   师：杨杰

论文题目

Unsupervised color image segmentation using classical and contemporary deep learning based clustering 

论文内容

第一章Introduction

第二章Literature Review: Image Segmentation

第三章Efficient clustering approach for adaptive unsupervised colour image segmentation

第四章Bottom-Up optimal initialization conditions discovery to improve clustering based image segmentation

第五章Image Segmentation via MDCT and Consensus based Region Merging

第六章 Deep Representation Clustering and Multidimensional Feature Fusion Region Merging based Bottom-up Unsupervised Image Segmentation

第七章 End-to-end unsupervised learning of latent-space clustering for image segmentation via fully denseU-Net and fuzzy C-means loss

第八章 Conclusion and Future Work

关键词：Unsupervised image segmentation, Clustering initialization, Low-level feature clustering, Consensus-driven Region merging, Deep feature clustering, FCM loss