An Image Retrieval Algorithm In Dip Using Matlab

Prof.Vikram Mahendra Kakade

Abstract


The Practicality of large image databases for a variety of applications have now become realizable. Image matching with retrieval is the burning need for now a day in software application and MATLAB provides source code to be implemented in graphical user interface which is convincing approach .In this paper my main aim is to use a justified and proven method in terms of efficiency and comparative analysis over existing method where work has been carried until now the retrieval of images based on visual features such as colour, texture and shape. But practically the method has a drawback which is area for concern like speed of operation and strong literature review.This paper deals with CBIR Based modified approach in image retrieval and shape retrieval which not only retrieve query image but also increase speed of operation in efficient manner. I have presented algorithm with flowchart and concern result for image retrieval in this paper.

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References


A. Diplaros, E. G. M. Petrakis, and E. Milios, ``Shape matchingwith occlusion in image databases,'' in Proc. Infotech Oulu Int.Workshop Inf. Retr. (IR), Sep. 2001, pp. 142_150.

N. Kumar et al., ``Leafsnap: A computer vision system for automatic plantspecies identi_cation,'' in Computer Vision (Lecture Notes in ComputerScience). Berlin, Germany: Springer-Verlag, 2012, pp. 502_516.

S. Belongie, J. Malik, and J. Puzicha, ``Shape matching and object recognitionusing shape contexts,'' IEEE Trans. Pattern Anal. Mach. Intell.,

vol. 24, no. 4, pp. 509_522, Apr. 2002.

C. C. Chang, S. M.Hwang, and D. J. Buehrer, ``Ashape recognition scheme based on relative distances of feature points from the centroid,'' Pattern Recognition., vol. 24, no. 11, pp. 1053_1063, 1991.

K.-L. Tan, B. C. Ooi, and L. F. Thiang, ``Retrieving similar shapes effectively and efficiently,'' Multimedia Tools Appl., vol. 19, no. 2, pp. 111_134,2003.

E. Attalla and P. Siy, ``Robust shape similarity retrieval based on contour segmentation polygonal multi resolution and elastic matching,'' Pattern Recognit., vol. 38, no. 12, pp. 2229_2241, Dec. 2005.

B. K. Jung, S. Y. Shin, W. Wang, H. D. Choi, and J. K. Pack, ``Similar MRI object retrieval based on moodified contour to centroid triangulation with arc difference rate,'' in Proc. 29th SAC, 2014, pp. 31_32.

J.-L. Shih and S.-Y. Lin, ``A new shape retrieval approach based on the multi-resolution contour-based descriptor,'' J. Inf. Technol. Appl., vol. 6,no. 2, pp. 40_51, 2012.

F. Mokhtarian and A. Mackworth, ``Scale-based description and recognitionof planar curves and two-dimensional shapes,'' IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-8, no. 1, pp. 34_43, Jan. 1986.

F. Mokhtarian and A. K. Mackworth, ``A theory of multiscale, curvaturebasedshape representation for planar curves,'' IEEE Trans. Pattern Anal.Mach. Intell., vol. 14, no. 8, pp. 789_805, Aug. 1992.


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