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ICPR
2002
IEEE
14 years 8 months ago
Word Segmentation of Printed Text Lines Based on Gap Clustering and Special Symbol Detection
This paper proposes a word segmentation method for machine-printed text lines. It utilizes gaps and special symbols as delimiters between words. A gap clustering technique is used...
Soo-Hyung Kim, Chang Bu Jeong, Hee K. Kwag, Ching ...
TITS
2008
189views more  TITS 2008»
13 years 7 months ago
Robust Road Modeling and Tracking Using Condensation
In this paper, we present a robust road detection and tracking method based on a condensation particle filter for real-time video-based navigation applications. The image is divide...
Yan Wang, Li Bai, Michael C. Fairhurst
ICIP
2010
IEEE
13 years 5 months ago
Edge-adaptive image segmentation based on seam processing and K-Means clustering
A new image segmentation method is proposed to combine the edge information with the feature-space method, K-Means clustering. A procedure called seam processing, which is computa...
Tse-Wei Chen, Hsiao-Hang Su, Yi-Ling Chen, Shao-Yi...
DAS
2004
Springer
14 years 1 months ago
Adaptive Region Growing Color Segmentation for Text Using Irregular Pyramid
This paper presents the result of an adaptive region growing segmentation technique for color document images using an irregular pyramid structure. The emphasis is in the segmentat...
Poh Kok Loo, Chew Lim Tan
CVPR
2007
IEEE
14 years 9 months ago
Unsupervised Segmentation of Objects using Efficient Learning
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...