Development of Algorithm for classification Siamese rosewood and Rosewood using the Analysis of Color Histogram graph

  • Witthaya Boonsuk Nakhon Phanom University, Nakhon Phanom, 48000 Thailand.
Keywords: Histogram, cumulative frequency, digital image, graph, color intensity


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.

Author Biography

Witthaya Boonsuk, Nakhon Phanom University, Nakhon Phanom, 48000 Thailand.

Department of Information Technology,


[1]Robert Nowak. (2012). Digital Image Processing Basics.[Online].Avaiable:
[2] Swain, M. J. & D. H. Ballard, D. H. (1990). Indexing via color histograms. Proceedings of the 3rd International Conference on Computer Vision, pp. 390– 393.
[3]Swain, M.j, & Ballard,D. (1991). Color indexing, International Journal of Computer Vision, 7, pp. 11-32.
[4] Wong, K.M., Cheung, C.H.,& Po, L.M. (2002). Merged color histogram for color image retrieval. Proceedings of the 2002 International Conference on
Image Processing,vol.3, pp.949–952.
[5] Funt, B and Finlayson, G (1995). Color constant color indexing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(5):522–529.
[6]Geversb.,T & Smeulders,W. (2001). Color constant ratio gradients for image segmentation and similarity of texture objects. Proceedings of the 2001 IEEE