Dipartimento d'Ingegneria

Stereo pair images from very high-resolution optical satellites GeoEye-1 (GE1) and WorldView-2 (WV2) can be succesfully used for land cover classification agricultural areas through object-based image analysis. The overall accuracy attained by applying nearest neighbor and support vector machine classifiers to the four multispectral bands of GE1 were very similar to those computed from WV2, for either four or eight multispectral bands. Height data, in the form of nDSM, proved to be the most important feature for greenhouse classification. We obtained overall accuracy close to 90%.

Source:
M.Á. Aguilar, F. Bianconi, F.J. Aguilar and I. Fernández, "Object-Based Greenhouse Classification from GeoEye-1 and WorldView-2 Stereo Imagery", Remote Sensing, 6(5):3554-3582, 2014
Published in Research
We studied a sequential, two-step procedure based on machine vision for detecting and characterizing impurities in paper. The method is based on a preliminary classification step to differentiate defective paper patches (i.e.: with impurities) from non-defective ones (i.e.: with no impurities), followed by a thresholding step to separate the impurities from the background. This approach permits to avoid the artifacts that occurs when thresholding is applied to paper samples that contain no impurities. We discuss and compare different solutions and methods to implement the procedure and experimentally validate it on a datasets of 11 paper classes. The results show that a marked increase in detection accuracy can be obtained with the two-step procedure in comparison with thresholding alone.

ImagingSystem
Source:
F. Bianconi, L. Ceccarelli, A. Fernández and S. A. Saetta, "A sequential machine vision procedure for assessing paper impurities", Computers in Industry, 65(2):325-332, 2014
Published in Research
Friday, 07 December 2012 10:18

DSPLab

The Digital Signal Processing Laboratory was founded in 1997 by a group of professors and researchers of the Telecommunications section of the former Institute of Electronics, then DIEI, and now DI. Right from the beginning, the main research is focused on Digital Signal Processing for several areas in the field of telecommunications, such as Digital Video Broadcasting, Racing Telemetry, Satellite transmission, and multimedia-related processing.

More information can be found on

http://dsplab.diei.unipg.it/


Published in Laboratories
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