Image retrieval of region location based on color auto-correlogram
Xuebo Chen · Journal of Sichuan University · 2010
Color Auto-Correlogram distills the spatial correlation of colors,and is both effective and inexpensive for content-based image retrieval.But,this feature has a high rate of false detection when images have a clear outlook or a large area monochrome.For this problem,a new region location based Image Retrieval algorithm based on color co-occurrence histogram was proposed.The algorithm uses HSV color auto-correlogram as basic characteristics,using effective region location and Binary bitmap to obtain the local features.Finally,the features were integrated and retrieved by the best similar matching function.Experiments indicate that the method results from the combination of basic and local features is superior than using single feature.