Content-Based Image Retrieval Using Zernike Moments for Binary and Grayscale Images

Image features play a vital role in image retrieval. This chapter presents the use of Zernike moment features for retrieving the binary and gray level images from established image databases. To retrieve a set of similar category of images from an image d...

[1]  Raveendran Paramesran,et al.  Image analysis by Krawtchouk moments , 2003, IEEE Trans. Image Process..

[2]  Shahin Akbarpour,et al.  ON CONTENT BASED IMAGE RETRIEVAL IN MEDICAL DIAGNOSIS , 2013 .

[3]  Sim Heng Ong,et al.  Image Analysis by Tchebichef Moments , 2001, IEEE Trans. Image Process..

[4]  Roland T. Chin,et al.  On image analysis by the methods of moments , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

[5]  Y. Madhavee Latha,et al.  MEDICAL IMAGE RETRIEVAL USING MOMENTS , 2013 .

[6]  Ekta Walia,et al.  Variants of dense descriptors and Zernike moments as features for accurate shape-based image retrieval , 2014, Signal Image Video Process..

[7]  Kannan Balakrishnan,et al.  Content Based Image Retrieval of T2 Weighted Brain MR Images Similar to T1 Weighted Images , 2013, PReMI.

[8]  Jürgen Altmann,et al.  A Fast Correlation Method for Scale-and Translation-Invariant Pattern Recognition , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Alireza Khotanzad,et al.  Invariant Image Recognition by Zernike Moments , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Miroslaw Pawlak,et al.  On the Accuracy of Zernike Moments for Image Analysis , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Ying Liu,et al.  Digital Image Retrieval Using Intermediate Semantic Features and Multistep Search , 2008, 2008 Digital Image Computing: Techniques and Applications.

[12]  M. Teague.  Image analysis via the general theory of moments , 1980 .

[13]  M. Mercimek,et al.  Real object recognition using moment invariants , 2005 .

[14]  Mandy Berg,et al.  Moment Functions In Image Analysis Theory And Applications , 2016 .

[15]  Andrew Zisserman,et al.  Video Google: a text retrieval approach to object matching in videos , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[16]  M. S. Hitam,et al.  Content-Based Image Retrieval using SIFT for binary and greyscale images , 2013, 2013 IEEE International Conference on Signal and Image Processing Applications.

[17]  Rossitza Setchi,et al.  Trademark image retrieval using an integrated shape descriptor , 2013, Expert Syst. Appl..

[18]  Ronald N. Bracewell,et al.  The Fourier Transform and Its Applications , 1966 .

[19]  Hayit Greenspan,et al.  Content-Based Image Retrieval in Radiology: Current Status and Future Directions , 2010, Journal of Digital Imaging.

[20]  Richard J. Prokop,et al.  A survey of moment-based techniques for unoccluded object representation and recognition , 1992, CVGIP Graph. Model. Image Process..

[21]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[22]  Jake K. Aggarwal,et al.  CIRES: a system for content-based retrieval in digital image libraries , 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

[23]  JainRamesh,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000 .

[24]  A. S. Jalal,et al.  Trademark image retrieval by integrating shape with texture feature , 2013, 2013 International Conference on Information Systems and Computer Networks.

[25]  Cordelia Schmid,et al.  Improving Bag-of-Features for Large Scale Image Search , 2010, International Journal of Computer Vision.

[26]  B. S. Manjunath,et al.  Texture Features for Browsing and Retrieval of Image Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..