Tania Mezzadri Centeno

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This paper proposes a fuzzy classifier based on type-2 fuzzy sets to be applied in land cover classification. The classifier is built from the available data and considers the merging of information acquired from different experts. The data regards a thematic mapper representing the land cover of a real plain cultivated area. The experts are represented by(More)
This paper proposes a fuzzy classifier based on type-2 fuzzy sets to be applied in land cover classification. The classifier is built on the basis of the available data and considers the merging of information drawn from different experts. The data regard a thematic mapper representing the land cover of a real plain cultivated area. The experts are(More)
This paper aims to incorporate intelligent mechanisms based on Soft Computing in Geographical Information Systems (GIS). The proposal here is to present a spatio-temporal prediction method of forestry evolution for a sequence of binary images by means of fuzzy inference systems (FIS), genetic algorithm (GA) and genetic programming (GP). The main inference(More)
On several automatic systems for manufacturing and assembly, specially on Flexible Manufacturing Systems (FMS), identifying mechanical parts produced and detecting their position and orientation are important issues related to the necessity of handling these parts by industrial robots. Currently, the recognizing process is performed by human check, but it(More)
This paper presents a methodology to detect the central region of weld beads on petroleum pipelines in double wall double image (DWDI) radiographic images. The method is based on three steps: pre-processing (to isolate selected regions), optimization (to define the ellipse that best fits in selected region), and decision (to choose the best region). Results(More)