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» Watershed Based Document Image Analysis
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ACIVS
2010
Springer
13 years 2 months ago
Watershed Based Document Image Analysis
Document image analysis is used to segment and classify regions of a document image into categories such as text, graphic and background. In this paper we first review existing doc...
Pasha Shadkami, Nicolas Bonnier
ICDAR
2003
IEEE
13 years 9 months ago
Postal Envelope Segmentation by 2-D Histogram Clustering through Watershed Transform
In this paper we present a new postal envelope segmentation method based on 2-D histogram clustering and watershed transform. Segmentation task consists in detecting the modes ass...
Eduardo Akira Yonekura, Jacques Facon
CAIP
2007
Springer
190views Image Analysis» more  CAIP 2007»
13 years 10 months ago
Image Segmentation Based on Height Maps
Abstract. In this paper we introduce a new method for image segmentation. It is based on a height map generated from the input image. The height map characterizes the image content...
Gabriele Peters, Jochen Kerdels
ICDAR
2009
IEEE
13 years 11 months ago
Robust Color Image Enhancement of Digitized Books
We present a spatially variant framework for correcting uneven illumination and color cast, problems commonly associated with digitized books. The core of our method is a color im...
Jian Fan
ICPR
2004
IEEE
14 years 5 months ago
A New Color Image Segmentation Algorithm based on Watershed Transformation
A new color segmentation method is presented in this paper. The method is specified for color images that have both large and small objects, and objects with both step and ramp ed...
Marat Kazanov