Brain Journal-Annsvm: A Novel Method For Graph-Type Classification By Utilization Of Fourier Transformation, Wavelet Transformation, And Hough Transformation-Figure 7C. Results From Svm, Ann, Svmann, And Annsvm That Used Wlht

Masaomi Kimura &
From the results of ANNSVM_WL and ANNSVM_HT, we found that wavelet coefficients had a larger impact on classification than the Hough transformation data because the results from our proposed method applied to WL were more accurate than those of HT. The wavelet coefficients can capture the dominant characteristics from the graphs better than the Hough transformation. The one-dimensional image represented in the frequency domain had oscillations with different amplitudes depending on the graph types. For...
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