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ISBI
2004
IEEE
15 years 10 months ago
Enhancement of Microtubules In EM Tomography
The interpretation of the EM tomography of microtubules is challenging due to the low SNR and low contrast of the volume data. Therefore, image enhancement is crucial for the subs...
Ming Jiang 0004, Qiang Ji, Bruce F. McEwen
ICCV
2005
IEEE
15 years 3 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
ICBA
2004
Springer
271views Biometrics» more  ICBA 2004»
15 years 3 months ago
Enhance the Alignment Accuracy of Active Shape Models Using Elastic Graph Matching
Active Shape Model (ASM) is one of the most popular methods for image alignment. To improve its matching accuracy, in this paper, ASM searching method is combined with a simplifie...
Sanqiang Zhao, Wen Gao, Shiguang Shan, Baocai Yin
ICMCS
2007
IEEE
131views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Semantic Retrieval with Enhanced Matchmaking and Multi-Modality Ontology
This paper presents a method for automatically annotating and retrieving animal images. Our model is a multi-modality ontology extended from our previous works in the sense that b...
Huan Wang, Liang-Tien Chia, Song Liu
IPMI
2007
Springer
15 years 10 months ago
Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support
Abstract. Volume segmentation is a relatively slow process and, in certain circumstances, the enormous amount of prior knowledge available is underused. Model-based liver segmentat...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...