Two new ways of Discriminant Feature Transform
Nattapong Jundang, Surachai Ongkittikul · 2014
In this paper, we present the encoding produces technique for texture recognition. This produces are developed with the purpose to replaced the previous method. Firstly, we encode image informations by VTT (Volume Trace Transform), and trace functionals are chosen by RL (Reinforce Learning). The number of VTT results are extracted by the amount of trace functionals. Secondly, we present P-DFT (Plus-Discriminant Feature Transform) and S-DFT (Square-Discriminant Feature Transform) accumulate result's VTT and constructs 2-D histogram. Finally, The histogram is compared by chi-square test and in conclusion will present the accuracy of recognition rate of both methods based on brodatz texture database.