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PAMI
2010
260views more  PAMI 2010»
13 years 5 months ago
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
—In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmen...
Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang
ICCV
2003
IEEE
14 years 9 months ago
A Segmentation Algorithm for Contrast-Enhanced Images
Medical imaging often involves the injection of contrast agents and the subsequent analysis of tissue enhancement patterns. Many important types of tissue have characteristic enha...
Junhwan Kim, Ramin Zabih
CVPR
2009
IEEE
15 years 2 months ago
Active Volume Models for 3D Medical Image Segmentation
In this paper, we propose a novel predictive model for object boundary, which can integrate information from any sources. The model is a dynamic “object” model whose manifes...
Tian Shen (Lehigh University), Hongsheng Li (Lehig...
ICDAR
2005
IEEE
14 years 1 months ago
ScatterType: A Legible but Hard-to-Segment CAPTCHA
The ScatterType CAPTCHA, designed to resist character– segmentation attacks and shown to be highly legible to human readers, is analyzed for vulnerabilities and is offered for e...
Henry S. Baird, Michael A. Moll, Sui-Yu Wang

Publication
400views
13 years 2 months ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...