A Color Mask and Trained Image Set for the Creation of New Technique for Indoor Robotic Navigation

Abstract

Among the different methods used in the indoor navigation of robotic systems image processing techniques are widely used. This research was focused to explore a new dimension of image capturing and matching in order to enhance the indoor navigation methods of moving robots. The color extraction were carried out by performing the logical operation between a color mask and the original image. The color mask would be created considering the bitwise range analysis. The real comparison has been received analyzing the histograms received from color extraction and the trained source image.