@inproceedings{Silva:2008:ISVC,
title = {Satellite Image Segmentation Using Wavelet Transforms Based on Color and Texture Features},
author = {R S da Silva and R Minetto and William Robson Schwartz and H Pedrini},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2008-Satellite-Image-Segmentation-Using-Wavelet-Transforms-Based-on-Color-and-Texture-Features.pdf},
isbn = {978-3-540-89645-6},
year = {2008},
date = {2008-01-01},
booktitle = {International Symposium on Advances in Visual Computing},
volume = {5359},
pages = {113-122},
series = {Lecture Notes in Computer Science},
keywords = {Image Segmentation, Wavelets},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Schwartz:2007:WSCG,
title = {Color Textured Image Segmentation Based on Spatial Dependence Using 3D Co-occurrence Matrices and Markov Random Fields},
author = {William Robson Schwartz and H Pedrini},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2007-Color-Textured-Image-Segmentation-Based-on-Spatial-Dependence-Using-3D-Co-occurrence-Matrices-and-Markov-Random-Fields.pdf
https://googledrive.com/host/0B53xd8WZN11YeTRvemlqYkJNd0E/paper_2007_WSCG.pdf},
isbn = {978-80-86943-01-5},
year = {2007},
date = {2007-01-01},
booktitle = {International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision},
pages = {81-87},
keywords = {Image Segmentation, Markov Random Fields},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Schwartz:2006:ICIP,
title = {Textured Image Segmentation Based on Spatial Dependence using a Markov Random Field Model},
author = {William Robson Schwartz and H Pedrini},
url = {http://smartsenselab.dcc.ufmg.br/wp-content/uploads/2019/02/2006-Textured-Image-Segmentation-Based-on-Spatial-Dependence-using-a-Markov-Random-Field-Model.pdf},
year = {2006},
date = {2006-01-01},
booktitle = {IEEE International Conference on Image Processing},
pages = {2449-2452},
keywords = {Image Segmentation, Markov Random Fields, Texture Segmentation},
pubstate = {published},
tppubtype = {inproceedings}
}