Methods for Classifying Pictures and Generating Music by 2D DFA and 1D FFT
نویسنده
چکیده
This study proposes the following two methods applying two-dimensional DFA (detrended fluctuation analysis) and one-dimensional FFT (fast Fourier transform) algorithm: (1) a method for finding pleasant photographs of local tourist spots, and (2) a method for creating music from these photographs. We define “pleasant photograph” as the photograph containing 1/f noise components since it has been suggested that the 1/f -noise structure in visual art as well as in music can stimulate the perception of pleasant. We analyze 198 photographs published in the book edited by Onomichi city to find the pleasant photographs. The method for the music extraction from the picture is developed taking into account that the sequence of the brightness in the horizontal direction on each row can be decomposed into periodic waves, and then, by regarding each wave obtained as sound waves, successive chords can be created from the image. A method to arrange the music by reflecting features of the image is also provided.
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