A Content Based Image Retrieval Approach Based On Principal Regions Detection
This paper proposes a new region-based image retrieval technique called Principal Regions Image Retrieval (PRIR). This technique starts by segmenting an image to the most general principal regions and applies a fuzzy feature histogram to describe the color and texture properties of each segmented region. The proposed approach starts by generating a nearest neighbor graph for the segmented regions, and applying a greedy graph matching algorithm with a modified scoring function to determine the image rank. The proposed segmentation approach provides significant speedup toward state of the art techniques while keeping accurate precision. Moreover, the proposed approach combines local and global description to improve the retrieval results. Standard image databases are used to evaluate the performance of the proposed system. Results show that the proposed approach enhances the accuracy of retrieval compared to other approaches reported in the literature.
Keywords: Content based Image Retrieval (CBIR), region-based segmentation, Composite descriptors, Information retrieval, Graph matching, Fuzzy color and texture histogram
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ABOUT THE AUTHORS
Mohamed A. Helala
received the M.Sc. in Computer Engineering from Benha University, Egypt in 2010. He is curently a PhD student with the Computer Vision group at the University Of Ontario; Institute Of Technology (UOIT) since 2011. His research interests are in computer vision, where he has worked on a number of problems, including Content based Image Retrieval (CBIR), image segmentation and visual scene analysis.
Mazen M. Selim
received the BSc in electrical engineering in 1982, the MSc in 1987 and PhD in 1993 from Zagazig University (Benha Branch) in electrical and communication engineering. He is now a lecturer at the faculty of computers and informatics, Benha University. His areas of interest are image processing, biometrics, sign language, content based image retrieval (CBIR) and watermarking.
Hala H. Zayed
received the BSc in electrical engineering (with honor degree) in 1985, the MSc in 1989 and PhD in 1995 from Zagazig University (Benha Branch) in electrical and communication engineering. She is now a professor at faculty of computers and informatics, Benha University. Her areas of research are pattern recognition, content based image retrieval, biometrics and image processing.
Mohamed A. Helala
received the M.Sc. in Computer Engineering from Benha University, Egypt in 2010. He is curently a PhD student with the Computer Vision group at the University Of Ontario; Institute Of Technology (UOIT) since 2011. His research interests are in computer vision, where he has worked on a number of problems, including Content based Image Retrieval (CBIR), image segmentation and visual scene analysis.
Mazen M. Selim
received the BSc in electrical engineering in 1982, the MSc in 1987 and PhD in 1993 from Zagazig University (Benha Branch) in electrical and communication engineering. He is now a lecturer at the faculty of computers and informatics, Benha University. His areas of interest are image processing, biometrics, sign language, content based image retrieval (CBIR) and watermarking.
Hala H. Zayed
received the BSc in electrical engineering (with honor degree) in 1985, the MSc in 1989 and PhD in 1995 from Zagazig University (Benha Branch) in electrical and communication engineering. She is now a professor at faculty of computers and informatics, Benha University. Her areas of research are pattern recognition, content based image retrieval, biometrics and image processing.
