Markov random field modeling in image analysis
Markov random field modeling in image analysis
Context Modeling and Entropy Coding of Wavelet Coefficients for Image Compression
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Entropy Optimized Contrast Stretch to Enhance Remote Sensing Imagery
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Entropy-of-likelihood Feature Selection for Image Correspondence
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
An Unsupervised Clustering Method Using the Entropy Minimization
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
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This paper introduces entropy as a feature for 1D signals. We propose as entropy measure the ratio between the signal's perturbation (i.e. its part within minimum and maximum grey level) and the total energy of the signal. A linear transformation of 2D signals into 1D signals is also illustrated together with the results concerning natural scene, texture and medical images from a large mammograms database. The aim of this paper is to verify if the entropy variations for a closed system can be a discriminant feature to select homogenous regions.