Image Segmentation

The primary purpose of an image segmentation system is to extract information from the images to allow the discrimination among different objects of interest. Image segmentation is of great interest in a variety of scientific and industrial fields, with applications in medicine, microscopy, remote sensing, control of quality, retrieval of information in graphic databases, among others. The segmentation process is usually based on gray level intensity, color, shape, or texture.

Related Publications

R D da Silva; William Robson Schwartz; H Pedrini

Image Segmentation Based on Wavelet Feature Descriptor and Dimensionality Reduction Applied to Remote Sensing Journal Article

In: Chilean Journal of Statistics, 2 (2), pp. 51-60, 2011.

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R S da Silva; R Minetto; William Robson Schwartz; H Pedrini

Satellite Image Segmentation Using Wavelet Transforms Based on Color and Texture Features Inproceedings

In: International Symposium on Advances in Visual Computing, pp. 113-122, 2008, ISBN: 978-3-540-89645-6.

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William Robson Schwartz; H Pedrini

Color Textured Image Segmentation Based on Spatial Dependence Using 3D Co-occurrence Matrices and Markov Random Fields Inproceedings

In: International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, pp. 81-87, 2007, ISBN: 978-80-86943-01-5.

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William Robson Schwartz; H Pedrini

Textured Image Segmentation Based on Spatial Dependence using a Markov Random Field Model Inproceedings

In: IEEE International Conference on Image Processing, pp. 2449-2452, 2006.

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