Multilevel Color Histogram Representation of Color Images by Peaks for Omni-Camera

This paper proposes the use of a vector of color his- togram peaks as an efficient and effective way for many image index- ing problems. It shows that histogram peaks are more stable than general histogram bins when there are variation of scale and/or scale. We also introduce the structure of a room recognition system which applies this indexing technique to omni-directional images of rooms. Experimental results shows that using only peaks leads to significantly less time and storage demands an still provides recognition rates across a database of hundreds of rooms. Keywords—Color, Multilevel Color Histogram, Peak, Image Index- ing, Room Recognition

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