Abstract

This paper proposes a fast, convenient, and effective technique to detect the percentage of boric acid equivalent in rubberwood which may significantly reduce cost in wood industries when a conventional observing method requiring an expert is unnecessary. Color thresholds was constructed to identify digital images using MATLAB to process the RGB color ratio from boron testing performed on timber samples. Photographed boron treated timber samples was infiltrated with curcumin reagent then the RGB color ratio was calculated to show the percentage of boric acid equivalent. The G to R and B to G ratios were presented and the proposed algorithm was used for processing colors to determine the percentage of boric acid equivalent. The results showed that the algorithm is promising with high accuracy when the percentage of boric acid equivalent of real samples from the factory were detected with no error although color classification error to determine the percentage of boric acid equivalent using the G to R and B to G ratio algorithm is presented.