Development of Algorithm for classification Siamese rosewood and Rosewood using the Analysis of Color Histogram graph
The purpose of this study was to develop the Algorithm for classifying Siamese rosewood and rosewood. The principle of the system used the cumulative color histogram emphasized green and blue colors. The objective was to classify the type of woods from the analysis of colors from the histogram graph. The results from the proficiency test collected from the 2 sample groups consisted of 30 images per group, 60 images in total. The precision means of group 1: Siamese rosewood was 90%, and group 2: rosewood was 80%. The overall mean of precision was 85%. It concluded that the analysis of the cumulative frequency of Histogram color was relatively precise. Thus, it is suitable to apply in wood classification using this technique in the future.
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