Powerful Descriptor for Image Retrieval Based on Angle Edge and Histograms

Mussarat Yasmin*, Muhammad Sharif, Isma Irum, Sajjad Mohsin

CCOMSATS Institute of Information Technology, Pakistan. *mussaratyasmin@comsats.edu.pk.

ABSTRACT

By gaining the place of active and important research area, Content based image retrieval has been proposed in a number of different ways after its inception. In the proposed method, a new angle orientation histogram has been introduced named as Angle Edge Histogram. By applying Pythagorean theory to image, very useful characteristics have been obtained for image matching, search and retrieval. Proposed method has also been compared with existing methods and the results show that it outperforms the existing methods in values of precision and recall and balance of precision and recall. Proposed method receives an average of 94% of precision and 79% of recall rates.

Keywords: Feature Extraction, Image Decomposition, Image Matching, Image Search, Pythagorean Theory, Shape Descriptor, Shape Features.

DESCARGAR ARTÍCULO EN FORMATO PDF

References

[1] N. Vazque et.al, "Automatic System for Localization and Recognition of Vehicle Plate Numbers" Journal of Applied Research and Technology, vol. 1, no.1, pp. 63-77, 2003.         [ Links ]

[2] M. J. Álvarez et.al, "Colour and Texture Features for Image Retrieval in Granite Industry" Dyna [en línea], vol. 77, no. 163, pp. 121-130, 2010.         [ Links ]

[3] J. Canny, "A Computational Approach to Edge Detection". IEEE transaction on pattern analysis and machine intelligence vol. 8, No. 6, pp. 679-698, 1986.         [ Links ]

[4] H. S. Cruz and E. Bribiesca, "Polygonal Approximation of Contour Shapes using Corner Detection," Journal of Applied Research and Technology, vol. 7, no. 3, pp. 275-291, 2009.         [ Links ]

[5] J. M. Javier. "Image Segmentation through Encapsulation of its Constituents Industrial Data," Dyna [en línea], vol. 13, no. 10, pp. 77-79, 2010.         [ Links ]

[6] B. S. Manjunath et.al, "Colour and Texture Descriptors" IEEE Transactions on Circuit and System for Video Technology, vol. 11, no. 6, pp. 703-715, 2001.         [ Links ]

[7] D. Lowe, "Distinctive image features from scale-invariant keypoints," International Journal of Computer Vision, vol. 60, no 2, pp. 91-110, 2004.         [ Links ]

[8] A. Chalechal et.al, "Edge Image Description using Angular Radial Partitioning," IEEE Proceedings Vision, Image and Signal Processing, vol. 151, no. 2, pp. 93-101, 2004.         [ Links ]

[9] A. M. G. Pinheiro, "The Angular Partition Edge Descriptor," ICASSP, pp. 1250-1253, 2010.         [ Links ]

[10] A.M.G Pinheiro, "Performance Analysis of the Edge Pixel Orientations Histogram," WIAMIS IEEE, pp. 1-4, 2010        [ Links ]

[11] G. Salton and M.J Mcgill, "Introduction to Modern Information Retrieval", New York, McGraw Hill, Inc, 1986, pp. 167-180.         [ Links ]