Local extrema co-occurrence pattern for color and texture image retrieval

Neurocomputing

Volumn 165, Issue , 2015, Pages 255-269

  Verma, Manisha ^a   Raman, Balasubramanian ^a   Murala, Subrahmanyam ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY ROPAR   (India)

Author keywords

Corel database; Gray level co occurrence matrix; Local extrema co occurrence pattern; Local extrema patterns; MIT VisTex database; STex database

Indexed keywords

COLOR; DATABASE SYSTEMS; PIXELS; TEXTURES;

CO-OCCURRENCE PATTERN; DIRECTIONAL INFORMATION; DIRECTIONAL PROPERTIES; GRAY LEVEL CO-OCCURRENCE MATRIX; IMAGE RETRIEVAL TECHNIQUES; LOCAL EXTREMUM; PRECISION AND RECALL; REAL-WORLD PROBLEM;

IMAGE RETRIEVAL;

ALGORITHM; ARTICLE; BRIGHTNESS; COLOR; CONTROLLED STUDY; DATA BASE; GRAY LEVEL CO OCCURRENCE MATRIX; HISTOGRAM; HUE SATURATION VALUE COLOR SPACE; IMAGE RETRIEVAL; LOCAL EXTREMA CO OCCURRENCE PATTERN; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; PHYSICAL PARAMETERS; PRIORITY JOURNAL; TEXTURE;

EID: 84929951544     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.03.015     Document Type: Article

References (43)

1. Haralick R.M., Shanmugam K., Dinstein I. Textural features for image classification. IEEE Trans. Syst. Man Cybern. 1973, 6:610-621.
2. J. Zhang, G. Li, S. He, Texture-based image retrieval by edge detection matching GLCM, in: 10th IEEE International Conference on High Performance Computing and Communications, 2008, pp. 782-786.
3. Palm C. Color texture classification by integrative co-occurrence matrices. Pattern Recognit. 2004, 37(5):965-976.
4. M. Partio, B. Cramariuc, M. Gabbouj, A. Visa, Rock texture retrieval using gray level co-occurrence matrix, in: Proceeding of the 5th Nordic Signal Processing Symposium, vol. 75, 2002.
5. Siqueira F.R., Schwartz W.R., Pedrini H. Multi-scale gray level co-occurrence matrices for texture description. Neurocomputing 2013, 120:336-345.
6. Baraldi A., Parmiggiani F. An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters. IEEE Trans. Geosci. Remote Sens. 1995, 33(2):293-304.
7. Kovalev V., Petrou M. Multidimensional co-occurrence matrices for object recognition and matching. Graphical Models Image Process. 1996, 58(3):187-197.
8. Davis L.S., Johns S.A., Aggarwal J.K. Texture analysis using generalized co-occurrence matrices. IEEE Trans. Pattern Anal. Mach. Intell. 1979, 3:251-259.
9. M.J. Swain, D.H. Ballard, Indexing via color histograms, in: Active Perception and Robot Vision, 1992, pp. 261-273.
10. M.A. Stricker, M. Orengo, Similarity of color images, in: Proceedings of the Storage and Retrieval for Image and Video Databases, SPIE, 1995, pp. 381-392.
11. S. Murala, A.B. Gonde, R.P. Maheshwari, Color and texture features for image indexing and retrieval, in: IEEE International Conference on Advance Computing, 2009, pp. 1411-1416.
12. Lin C.H., Chen R.T., Chan Y.K. A smart content-based image retrieval system based on color and texture feature. Image Vis. Comput. 2009, 27(6):658-665.
13. Vadivel A., Sural S., Majumdar A.K. An integrated color and intensity co-occurrence matrix. Pattern Recognit. Lett. 2007, 28(8):974-983.
14. J. Huang, S.R. Kumar, M. Mitra, W.J. Zhu, R. Zabih, Image indexing using color correlograms, in: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997, pp. 762-768.
15. J. Huang, S.R. Kumar, M. Mitra, Combining supervised learning with color correlograms for content-based image retrieval, in: Proceedings of the 5th ACM International Conference on Multimedia, 1997, pp. 325-334.
16. G. Pass, R. Zabih, J. Miller, Comparing images using color coherence vectors, in: Proceedings of the 4th ACM International Conference on Multimedia, 1997, pp. 65-73.
17. Park S.S., Seo K.K., Jang D.S. Expert system based on artificial neural networks for content-based image retrieval. Exp. Syst. Appl. 2005, 29(3):589-597.
18. Jeong S., Won C.S., Gray R.M. Image retrieval using color histograms generated by Gauss mixture vector quantization. Comput. Vis. Image Underst. 2004, 94(1):44-66.
19. Jhanwar N., Chaudhuri S., Seetharaman G., Zavidovique B. Content based image retrieval using motif cooccurrence matrix. Image Vis. Comput. 2004, 22(14):1211-1220.
20. Murala S., Wu Q.M.J., Maheshwari R.P., Balasubramanian R. Modified color motif co-occurrence matrix for image indexing and retrieval. Comput. Electr. Eng. 2013, 39(3):762-774.
21. Vipparthi S.K., Nagar S.K. Multi-joint histogram based modelling for image indexing and retrieval. Comput. Electr. Eng. 2014.
22. Ojala T., Pietikäinen M., Harwood D. A comparative study of texture measures with classification based on featured distributions. Pattern Recognit. 1996, 29(1):51-59.
23. Ojala T., Pietikäinen M., Maenpaa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 2002, 24(7):971-987.
24. Yao C.H., Chen S.Y. Retrieval of translated, rotated and scaled color textures. Pattern Recognit. 2003, 36(4):913-929.
25. M. Heikkilä, M. Pietikäinen, C. Schmid, Description of interest regions with center-symmetric local binary patterns, in: Computer Vision, Graphics and Image Processing, 2006, pp. 58-69.
26. X. Tan, B. Triggs, Enhanced local texture feature sets for face recognition under difficult lighting conditions, in: Analysis and Modeling of Faces and Gestures, 2007, pp. 168-182.
27. Murala S., Maheshwari R.P., Balasubramanian R. Directional local extrema patterns. a new descriptor for content based image retrieval. Int. J. Multimed. Inf. Retr. 2012, 1(3):191-203.
28. S. Murala, Q.M.J. Wu, R. Balasubramanian, R.P. Maheshwari, Joint histogram between color and local extrema patterns for object tracking, in: IS&T/SPIE Electronic Imaging, International Society for Optics and Photonics, San Francisco, 2013, p. 86630T.
29. M. Verma, R. Balasubramanin, S. Murala, Multi-resolution local extrema patterns using discrete wavelet transform, in: 7th IEEE International Conference on Contemporary Computing (IC3), 2014, pp. 577-582.
30. Papakostas G.A., Koulouriotis D.E., Karakasis E.G., Tourassis V.D. Moment-based local binary patterns. a novel descriptor for invariant pattern recognition applications. Neurocomputing 2013, 99:358-371.
31. Zhang B., Gao Y., Zhao S., Liu J. Local derivative pattern versus local binary pattern. face recognition with high-order local pattern descriptor. IEEE Trans. Image Process. 2010, 19(2):533-544.
32. Murala S., Wu Q.J. Local ternary co-occurrence patterns. a new feature descriptor for MRI and CT image retrieval. Neurocomputing 2013, 119(6):399-412.
33. Murala S., Maheshwari R.P., Balasubramanian R. Local maximum edge binary patterns. a new descriptor for image retrieval and object tracking. Signal Process. 2012, 92(6):1467-1479.
34. K.P. Jasmine, P.R. Kumar, Integration of HSV color histogram and LMEBP joint histogram for multimedia image retrieval, in: Intelligent Computing, Networking, and Informatics, 2014, pp. 753-762.
35. Murala S., Maheshwari R.P., Balasubramanian R. Local tetra patterns. a new feature descriptor for content-based image retrieval. IEEE Trans. Image Process. 2012, 21(5):2874-2886.
36. Jacob I.J., Srinivasagan K.G., Jayapriya K. Local oppugnant color texture pattern for image retrieval system. Pattern Recognit. Lett. 2014, 42:72-78.
37. S.H. Sural, G. Qian, S. Pramanik, Segmentation and histogram generation using the hsv color space for image retrieval, in: International Conference on Image Processing, vol. 2, 2002, pp. 589-592.
38. H. Yu, M. Li, H.J. Zhang, J. Feng, Color texture moments for content-based image retrieval, in: International Conference on Image Processing, vol. 3, 2002, pp. 929-932.
39. A.R. Smith, Color gamut transform pair, ACM SIGGRAPH Comput. Graphics 12 (3) (1978) 12-19.
40. Corel 1k Database, Available online: 〈〉. http://wang.ist.psu.edu/docs/related/.
41. Corel 5k and Corel 10k Database, Available online: 〈〉. http://www.ci.gxnu.edu.cn/cbir/.
42. MIT Vision and Modeling Group, Cambridge, "Vision texture", Available online: 〈〉. http://vismod.media.mit.edu/pub/.
43. R. Kwitt, P. Meerwald, Salzburg Texture Image Database, September 2012, Available online: 〈〉. http://www.wavelab.at/sources/STex/.