Local patterns constrained image histograms for image retrieval

Abstract

In this paper, we present local patterns constrained image histograms (LPCIH) for efficient image retrieval. Extracting information through combining local texture patterns with global image histogram, LPCIH is an effective image feature representation method with a flexible image segmentation process. This kind of feature representation is robust and invariant for several image transforms, such as rotation, scaling and damaging. LPCIH method is efficient for several difficult image retrieval tasks, such as rotated and damaged gray image retrieval. Because many traditional image retrieval methods are not suitable for the difficult gray image retrieval tasks, LPCIH is valuable for many real-world applications of image retrieval. Experimental results show that the LPCIH method is consistently efficient, effective and it offers advantages over the state-of-the-art image retrieval methods.