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» Supervised Texture Detection in Images
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TCSV
2002
292views more  TCSV 2002»
13 years 9 months ago
Document image segmentation using wavelet scale-space features
In this paper, an efficient and computationally fast method for segmenting text and graphics part of document images based on textural cues is presented. We assume that the graphic...
Mausumi Acharyya, Malay K. Kundu

Publication
455views
14 years 6 months ago
General road detection from a single image
Given a single image of an arbitrary road, that may not be well-paved, or have clearly delineated edges, or some a priori known color or texture distribution, is it possible for a ...
Hui Kong, Jean-Yves Audibert, and Jean Ponce
JVCIR
2007
271views more  JVCIR 2007»
13 years 9 months ago
Text detection and restoration in natural scene images
A new method for text detection and recognition in natural scene images is presented in this paper. In the detection process, color, texture, and OCR statistic features are combin...
Qixiang Ye, Jianbin Jiao, Jun Huang, Hua Yu
CVPR
1996
IEEE
14 years 12 months ago
Minimal operator set for passive depth from defocus
A fundamental problem in depth from defocus is the measurement of relative defocus between images. We propose a class of broadband operators that, when used together, provide inva...
Masahiro Watanabe, Shree K. Nayar
TIP
2010
205views more  TIP 2010»
13 years 4 months ago
Variational Region-Based Segmentation Using Multiple Texture Statistics
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical t...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean...