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

This paper proposes the use of a vector of color histogram peaks as an efficient and effective way for many image indexing 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 Indexing, Room Recognition