УДК: 004.932

Restoring a silhouette of the hand in the problem of recognizing gestures by adaptive morphological filtering of a binary image

Publication in Journal of Optical Technology

For Russian citation (Opticheskii Zhurnal):

Малашин Р.О., Луцив В.Р. Восстановление силуэта руки в задаче распознавания жестов с помощью адаптивной морфологической фильтрации бинарного изображения // Оптический журнал. 2013. Т. 80. № 11. С. 54–61.

Malashin R. O., Lutsiv V. R. Restoring a silhouette of the hand in the problem of recognizing gestures by adaptive morphological filtering of a binary image [in Russian] // Opticheskii Zhurnal. 2013. V. 80. № 11. P. 54–61.

For citation (Journal of Optical Technology):

R. O. Malashin and V. R. Lutsiv, "Restoring a silhouette of the hand in the problem of recognizing gestures by adaptive morphological filtering of a binary image," Journal of Optical Technology. 80(11), 685-690 (2013). https://doi.org/10.1364/JOT.80.000685

Abstract:

Algorithms are presented for the adaptive processing of binary images of silhouettes of the human hand obtained by means of color-brightness filters. These algorithms are based on the use of a combination of elementary morphological operations that take into account the direction of the fingers. Algorithms are presented for removing noise on binary images that are adapted to the result of the operation of a color filter, and a method is presented for filling internal contours of a silhouette of the hand in order to remove grouped marking errors. The experimental results show that the proposed image-processing method increases the probability of successful detection, tracking of the hand, and recognition of gestures.

Keywords:

hand gesture recognition, hand silhouette recovery, morphological processing of binary images

OCIS codes: 120.3930, 260.7210, 300.6210, 300.6540

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