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» Image segmentation evaluation: A survey of unsupervised meth...
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TIP
2008
261views more  TIP 2008»
14 years 11 months ago
CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
Dana Elena Ilea, Paul F. Whelan
108
Voted
CICLING
2006
Springer
15 years 3 months ago
A Comparative Evaluation of a New Unsupervised Sentence Boundary Detection Approach on Documents in English and Portuguese
Abstract. In this paper, we describe a new unsupervised sentence boundary detection system and present a comparative study evaluating its performance against different systems foun...
Jan Strunk, Carlos Nascimento Silla Jr., Celso A. ...
ICPR
2010
IEEE
15 years 2 months ago
Unsupervised Evaluation Methods Based on Local Gray-Intensity Variances for Binarization of Historical Documents
Abstract--We attempt to evaluate the efficacy of six unsupervised evaluation method to tune Sauvola's threshold in optical character recognition (OCR) applications. We propose...
Marte Alejandro Ramírez-Ortegón, Raul Rojas
122
Voted
TIP
2002
179views more  TIP 2002»
14 years 11 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
83
Voted
ICIG
2009
IEEE
15 years 6 months ago
Image Segmentation Via Iterative Geodesic Averaging
We present a simple and fast method for performing unsupervised segmentation. Our method works by centering a square window on each pixel of the input image. Each pixel is then as...
Asmaa Hosni, Michael Bleyer, Margrit Gelautz