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ICPR
2002
IEEE
16 years 7 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 ...
ICASSP
2009
IEEE
16 years 1 months ago
Wrapping snakes for improved lip segmentation
A key step in the process of lip-reading is determining the shape of the speaker’s lips. This has previously been achieved through an energy method known as “snakes”, howeve...
Matthew Ramage, Euan Lindsay
BIBE
2008
IEEE
121views Bioinformatics» more  BIBE 2008»
16 years 29 days ago
Joining retinal vessel segments
—A new method is introduced for joining vessel segments together to form a vessel graph. Using a reference image set from the Sunderland Eye Infirmary, we analysed the retinal b...
Bashir Al-Diri, Andrew Hunter, David Steel, Maged ...
CISIS
2008
IEEE
16 years 29 days ago
Segmentation of the Liver from Abdominal CT Using Markov Random Field Model and GVF Snakes
Liver segmentation from scans of the abdominal area is an important step in several diagnostic processes. CT scans of the abdominal area contain several organs in close proximity ...
Raja' S. Alomari, Suryaprakash Kompalli, Vipin Cha...
EMMCVPR
2007
Springer
16 years 20 days ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann