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- W2277570529 abstract "The objective of this thesis is the leaf images data base organization (i.e classification, recognition, retrieval etc.).The database organization is based on the leaf shape and is accomplished in a few stages.The contour recognition and recording consist the first stage and is performed with image processing operations namely clustering and segmentation.From the leaf contour several features are extracted appropriate for a reliable description of each leaf type. The following well known techniques were studied in this thesis: Centroid Contour Distance, Angle code (histogram), Chain Code, Fourier Descriptors. Two new metods were also proposed: Pecstrum (pattern spectrum), Multidimension Sequence Similarity Measure.In the experimental study appropriate software was produced to realize all the above methods which was applied to the leaf data base downloaded from internet.The overall evaluation of the methods was done by means of the classification in precision and using the confusion matrix. Best results were produced by the MSSM method." @default.
- W2277570529 created "2016-06-24" @default.
- W2277570529 creator A5017437984 @default.
- W2277570529 date "2010-06-15" @default.
- W2277570529 modified "2023-09-27" @default.
- W2277570529 title "Οργάνωση βάσεων εικόνων βάσει περιγράμματος : εφαρμογή σε φύλλα" @default.
- W2277570529 hasPublicationYear "2010" @default.
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