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» Learning to Segment Document Images
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ICIP
2010
IEEE
13 years 6 months ago
A dynamic threshold approach for skin segmentation in color images
: This paper presents a novel dynamic threshold approach to discriminate skin pixels and non-skin pixels in color images. Fixed decision boundaries (or fixed threshold) classificat...
Yogarajah Pratheepan, Joan Condell, Kevin Curran, ...
ICFHR
2010
149views Biometrics» more  ICFHR 2010»
13 years 3 months ago
Integrating Geometric Context for Text Alignment of Handwritten Chinese Documents
The alignment of text line images with text transcript is a crucial step of handwritten document annotation. Handwritten text alignment is prone to errors due to the difficulty of...
Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu
ICDAR
1995
IEEE
14 years 13 days ago
A Hough based algorithm for extracting text lines in handwritten documents
The method herein proposed detects text lines on handwritten pages which may include either lines oriented in several directions, erasures, or annotationsbetween main lines. The m...
Laurence Likforman-Sulem, Anahid Hanimyan, Claudie...
ISBI
2007
IEEE
14 years 3 months ago
Probabilistic Segmentation of Brain Tumors Based on Multi-Modality Magnetic Resonance Images
In this paper, multi-modal Magnetic Resonance (MR) images are integrated into a tissue profile that aims at differentiating tumor components, edema and normal tissue. This is achi...
Hongmin Cai, Ragini Verma, Yangming Ou, Seung-koo ...
CVPR
2008
IEEE
14 years 11 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...