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» A tensorial framework for color images
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ICASSP
2011
IEEE
12 years 11 months ago
An adaptive bayesian clustering and multivariate region merging based technique for efficient segmentation of color images
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Sreenath Rao Vantaram, Eli Saber
JMIV
2010
115views more  JMIV 2010»
13 years 5 months ago
Image and Video Colorization Using Vector-Valued Reproducing Kernel Hilbert Spaces
Motivated by the setting of reproducing kernel Hilbert space (RKHS) and its extensions considered in machine learning, we propose an RKHS framework for image and video colorizatio...
Minh Ha Quang, Sung Ha Kang, Triet M. Le
WACV
2008
IEEE
14 years 1 months ago
A Vision-Based System For Automatic Detection and Extraction Of Road Networks
In this paper we present a novel vision-based system for automatic detection and extraction of complex road networks from various sensor resources such as aerial photographs, sate...
Charalambos Poullis, Suya You, Ulrich Neumann

Source Code
846views
14 years 2 months ago
Supervised Color Image Segmentation in a Markovian Framework
This is the sample implementation of a Markov random field based color image segmentation algorithm described in the following paper: Zoltan Kato, Ting Chuen Pong, and John Chu...
Mihaly Gara, Zoltan Kato
ICIP
2006
IEEE
14 years 9 months ago
Psnr-Based Optimization of JPEG Baseline Compression on Color Images
A fast rate-distortion analytical framework for the PSNR-based optimization of JPEG baseline compression on color images is proposed in this paper. The analysis is conducted in th...
Linfeng Guo, Yan Meng