Fast interactive segmentation of natural images using the image foresting transform

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Spina:2009:DSP,

• author = "T. V. Spina and Javier A. Montoya-Zegarra and A. X. Falcao and P. A. V. Miranda",
• title = "Fast interactive segmentation of natural images using the image foresting transform",
• booktitle = "16th International Conference on Digital Signal Processing",
• year = "2009",
• month = jul,
• pages = "1--8",
• keywords = "genetic algorithms, genetic programming, IFT, connectivity functions, fast interactive segmentation, feature extraction, feature selection, fuzzy classification, image enhancement, image foresting transform, image processing operators, image recognition, natural images, path-value functions, feature extraction, fuzzy set theory, graph theory, image enhancement, image recognition, image segmentation",
• DOI = "doi:10.1109/ICDSP.2009.5201044",
• abstract = "This paper presents an unified framework for fast interactive segmentation of natural images using the image foresting transform (IFT) - a tool for the design of image processing operators based on connectivity functions (path-value functions) in graphs derived from the image. It mainly consists of three tasks: recognition, enhancement, and extraction. Recognition is the only interactive task, where representative image properties for enhancement and the object's location for extraction are indicated by drawing a few markers in the image. Enhancement increases the dissimilarities between object and background for more effective object extraction, which completes segmentation. We show through extensive experiments that, by exploiting the synergism between user and computer for recognition and enhancement, respectively, as a separated step from recognition and extraction, respectively, one can reduce user involvement with better accuracy. We also describe new methods for enhancement based on fuzzy classification by IFT and for feature selection and/or combination by genetic programming.",
• notes = "Also known as \cite{5201044}",

}

Genetic Programming entries for Thiago Vallin Spina Javier A Montoya Zegarra Alexandre X Falcao Paulo A V de Miranda

Citations