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Energy and entropy features

The organization of the chapter is as follows Sect. 2 presents the extraction of ROI. The extraction of sigmoid, energy, and entropy features is described in Sect. 3. Matching and results of implementation are described in Sects. 4 and 5, respectively. Finally, conclusions are given in Sect. 6. [Pg.122]

The performance of Euclidean distance and SVM classifiers on sigmoid, energy and entropy features obtained using three window sizes (5 x5, 7x7, 9x9) is shown in Tables 10.1-10.6 on both databases. Both entropy and energy features have neck to neck competition. The sigmoid features have slightly superior performance. [Pg.128]


See other pages where Energy and entropy features is mentioned: [Pg.127]    [Pg.134]   
See also in sourсe #XX -- [ Pg.122 , Pg.124 , Pg.127 , Pg.128 , Pg.133 ]




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