Abstract—This paper presents a multi-step algorithm for noise reduction in hand detection by using partitioning method. The main idea of the partitioning method is to divide an image into equal-size blocks, and obtain the percentage of number of pixels with skin color (skin pixels) in each block. Each of the blocks is labelled as either noise or part of the hand based on the percentage of skin pixels in that block. The image is then refined by repeating the processes to work on smaller blocks in the image with different comparison percentage values. The result of this paper shows partitioning method not only can filter the noise, but it also preserves the shape of the hand better, as compared with the Mathematical Morphology algorithm.
Index Terms—Hand detection, noise reduction, human computer interaction, partitioning method.
Bo Shen Woun and Guat Yew Tan are with School of Mathematical Sciences, Universiti Sains Malaysia, 11800 Minden, Penang, Malaysia (e-mail: wbs102439@student.usm.my, gytan@cs.usm.my).
Ya Ping Wong is with Faculty of Computing and Informatics, Multimedia University, 63100 Cyberjaya, Malaysia (e-mail: ypwong@mmu.edu.my).
Edmund Ng is with Faculty of Cognitive Sciences and Human Development, Universtiy Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia (e-mail: gwng@fcs.unimas.my).
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Cite: Bo Shen Woun, Guat Yew Tan, Ya Ping Won, and Edmund Ng, "Partitioning Method in Noise Reduction to Improve Hand Detection," International Journal of Future Computer and Communication vol. 2, no. 5, pp. 395-398, 2013.
