Authors :
Halime ERGUN
Volume/Issue :
Volume 4 - 2019, Issue 8 - August
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://bit.ly/2kBzT6T
Abstract :
In this study, the detection and counting of
annual rings were determined by signal processing
methods. The surface density graph of the annual ring
image was plotted and a signal was obtained. Since the
signal contains noise, 1-D filtering processing was
applied to the signal. This minimizes the noise and
regions that cannot be annual rings. The annual ring
numbers and width were determined with a threshold
value calculated from the surface graph obtained from
the image. Matlab program was used for these
operations. The number of annual rings was determined
quickly and easily.
Keywords :
Annual Rings; Signal Processing.
In this study, the detection and counting of
annual rings were determined by signal processing
methods. The surface density graph of the annual ring
image was plotted and a signal was obtained. Since the
signal contains noise, 1-D filtering processing was
applied to the signal. This minimizes the noise and
regions that cannot be annual rings. The annual ring
numbers and width were determined with a threshold
value calculated from the surface graph obtained from
the image. Matlab program was used for these
operations. The number of annual rings was determined
quickly and easily.
Keywords :
Annual Rings; Signal Processing.