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Link to original content: https://doi.org/10.1007/s13735-018-0156-0
Multi-dimensional multi-directional mask maximum edge pattern for bio-medical image retrieval | International Journal of Multimedia Information Retrieval Skip to main content

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Multi-dimensional multi-directional mask maximum edge pattern for bio-medical image retrieval

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Abstract

Authors have proposed novel multi-dimensional multi-directional mask maximum edge patterns for the bio-medical image retrieval. Standard local binary patterns encode relationship of neighbor pixels with center pixel. Local mesh patterns encode the relationship between adjacent pixels surrounding the center pixel. Proposed approach encodes relationship of neighbour pixels in adjacent planes of a multi-dimensional image, in three stages. In the first stage, five sub images are formed by traversing in five different directions on three planes of a multi-dimensional image. In the second stage, directional masks are applied on each sub image to find directional edges. In stage three, maximum edge patterns are found based on the directions of the directional edges. To examine performance analysis of the proposed algorithm, we tested proposed algorithm on three benchmark databases, which gives retrieval accuracy \(56.93\%\) for top 5 images, 93.36 and \(62.49\%\) for top 10 images on MESSIDOR (Retinal images), VIA/I-ELCAP (CT images) and OASIS-MRI databases respectively in terms of average retrieval precision. The comparison reflects, there is considerable improvement in the performance.

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References

  1. ELCAP-CT Database available at. http://www.via.cornell.edu/databases-/lungdb.html. Accessed 27 Nov 2017

  2. Aman JM, Yao J, Summers RM (2010) Content-based image retrieval on CT colonography using rotation and scale invariant features and bag-of-words model. In: 2010 IEEE International symposium on biomedical imaging: from nano to macro. IEEE, pp 1357–1360

  3. Baby CG, Chandy DA (2013) Content-based retinal image retrieval using dual-tree complex wavelet transform. In: 2013 International conference on signal processing image processing & pattern recognition (ICSIPR), IEEE. pp 195–199

  4. Bala A, Kaur T (2016) Local texton xor patterns: a new feature descriptor for content-based image retrieval. Eng Sci Technol Int J 19(1):101–112

    Article  Google Scholar 

  5. Chi Y, Zhou J, Venkatesh SK, Tian Q, Liu J (2013) Content-based image retrieval of multiphase ct images for focal liver lesion characterization. Med Phys 40(10):1–13

    Article  Google Scholar 

  6. Decencire E, Zhang X, Cazuguel G, Lay B, Cochener B, Trone C, Gain P, Ordonez R, Massin P, Erginay A, Charton B, Klein JC (2014) Feedback on a publicly distributed database: the messidor database. Image Anal Stereol 33(3):231–234. https://doi.org/10.5566/ias.1155 http://www.ias-iss.org/ojs/IAS/article/view/1155

    Article  Google Scholar 

  7. Deep G, Kaur L, Gupta S (2016) Biomedical image indexing and retrieval descriptors: a comparative study. Procedia Comput Sci 85:954–961

    Article  Google Scholar 

  8. Dharani T, Aroquiaraj IL (2013) A survey on content based image retrieval. In: 2013 International conference on pattern recognition, informatics and mobile engineering (PRIME). IEEE, pp 485–490

  9. Dubey SR, Singh SK, Singh RK (2015) Local wavelet pattern: a new feature descriptor for image retrieval in medical ct databases. IEEE Trans Image Process 24(12):5892–5903

    Article  MathSciNet  Google Scholar 

  10. Dubey SR, Singh SK, Singh RK (2016) Local bit-plane decoded pattern: a novel feature descriptor for biomedical image retrieval. IEEE J Biomed Health Inform 20(4):1139–1147

    Article  Google Scholar 

  11. Dubey SR, Singh SK, Singh RK (2016) Multichannel decoded local binary patterns for content-based image retrieval. IEEE Trans Image Process 25(9):4018–4032

    Article  MathSciNet  Google Scholar 

  12. Dudhane A, Shingadkar G, Sanghavi P, Jankharia B, Talbar S (2017) Interstitial lung disease classification using feed forward neural networks. In: Proceedings of advances in intelligent systems research, pp 515–521

  13. Dudhane AA, Talbar SN (2018) Multi-scale directional mask pattern for medical image classification and retrieval. In: Proceedings of 2nd international conference on computer vision & image processing. Springer, pp 345–357

  14. Gonde AB, Patil PW, Galshetwar GM, Waghmare LM (2017) Volumetric local directional triplet patterns for biomedical image retrieval. In: 2017 Fourth international conference on image information processing (ICIIP). IEEE, pp 1–6

  15. Heikkilä M, Pietikäinen M, Schmid C (2009) Description of interest regions with local binary patterns. Pattern Recognit 42(3):425–436

    Article  Google Scholar 

  16. Jai-Andaloussi S, Lamard M, Cazuguel G, Tairi H, Meknassi M, Cochener B, Roux C (2010) Content based medical image retrieval based on bemd: optimization of a similarity metric. In: 2010 Annual international conference of the IEEE engineering in medicine and biology society (EMBC). IEEE, pp 3069–3072

  17. Lamard M, Cazuguel G, Quellec G, Bekri L, Roux C, Cochener B (2007) Content based image retrieval based on wavelet transform coefficients distribution. In: 2007 29th Annual international conference of the IEEE engineering in medicine and biology society (EMBS). IEEE, pp 4532–4535

  18. Liu Y, Zhang D, Lu G, Ma WY (2007) A survey of content-based image retrieval with high-level semantics. Pattern Recognit 40(1):262–282

    Article  Google Scholar 

  19. Marcus DS, Fotenos AF, Csernansky JG, Morris JC, Buckner RL (2010) Open access series of imaging studies: longitudinal mri data in nondemented and demented older adults. J Cogn Neurosci 22(12):2677–2684

    Article  Google Scholar 

  20. Moghaddam HA, Dehaji MN (2013) Enhanced gabor wavelet correlogram feature for image indexing and retrieval. Pattern Anal Appl 16(2):163–177

    Article  MathSciNet  Google Scholar 

  21. Moghaddam HA, Khajoie TT, Rouhi AH, Tarzjan MS (2005) Wavelet correlogram: a new approach for image indexing and retrieval. Pattern Recognit 38(12):2506–2518

    Article  Google Scholar 

  22. Murala S, Maheshwari R, Balasubramanian R (2012) Directional binary wavelet patterns for biomedical image indexing and retrieval. J Med Syst 36(5):2865–2879

    Article  Google Scholar 

  23. Murala S, Maheshwari R, Balasubramanian R (2012) Local tetra patterns: a new feature descriptor for content-based image retrieval. IEEE Trans Image Process 21(5):2874–2886

    Article  MathSciNet  Google Scholar 

  24. Murala S, Wu QJ (2013) Local ternary co-occurrence patterns: a new feature descriptor for mri and CT image retrieval. Neurocomputing 119:399–412

    Article  Google Scholar 

  25. Murala S, Wu QJ (2014) Local mesh patterns versus local binary patterns: biomedical image indexing and retrieval. IEEE J Biomed Health Inform 18(3):929–938

    Article  Google Scholar 

  26. Murala S, Wu QJ (2015) Spherical symmetric 3d local ternary patterns for natural, texture and biomedical image indexing and retrieval. Neurocomputing 149:1502–1514

    Article  Google Scholar 

  27. Naguib AM, Ghanem AM, Fahmy AS (2013) Content based image retrieval of diabetic macular edema images. In: 2013 IEEE 26th International symposium on computer-based medical systems (CBMS). IEEE, pp 560–562

  28. Ojala T, Pietikäinen M, Harwood D (1996) A comparative study of texture measures with classification based on featured distributions. Pattern Recognit 29(1):51–59

    Article  Google Scholar 

  29. Ojala T, Pietikainen M, Maenpaa T (2002) Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell 24(7):971–987

    Article  Google Scholar 

  30. Quellec G, Lamard M, Cazuguel G, Cochener B, Roux C (2010) Wavelet optimization for content-based image retrieval in medical databases. Med Image Anal 14(2):227–241

    Article  Google Scholar 

  31. Rosas-Romero R, Martínez-Carballido J, Hernández-Capistrán J, Uribe-Valencia LJ (2015) A method to assist in the diagnosis of early diabetic retinopathy: image processing applied to detection of microaneurysms in fundus images. Comput Med Imaging Graph 44:41–53

    Article  Google Scholar 

  32. Sastry CS, Ravindranath M, Pujari AK, Deekshatulu BL (2007) A modified gabor function for content based image retrieval. Pattern Recognit Lett 28(2):293–300

    Article  Google Scholar 

  33. Smeulders AW, Worring M, Santini S, Gupta A, Jain R (2000) Content-based image retrieval at the end of the early years. IEEE Trans Pattern Anal Mach Intell 22(12):1349–1380

    Article  Google Scholar 

  34. Sorensen L, Shaker SB, De Bruijne M (2010) Quantitative analysis of pulmonary emphysema using local binary patterns. IEEE Trans Med Imaging 29(2):559–569

    Article  Google Scholar 

  35. Tobin KW, Abramoff MD, Chaum E, Giancardo L, Govindasamy VP, Karnowski TP, Tennant MT, Swainson S (2008) Using a patient image archive to diagnose retinopathy. In: 2008 30th Annual international conference of the IEEE engineering in medicine and biology society (EMBS). IEEE, pp 5441–5444

  36. Verma M, Raman B (2016) Local tri-directional patterns: a new texture feature descriptor for image retrieval. Digit Signal Process 51:62–72

    Article  MathSciNet  Google Scholar 

  37. Vipparthi SK, Murala S, Gonde AB, Wu QJ (2016) Local directional mask maximum edge patterns for image retrieval and face recognition. IET Comput Vis 10(3):182–192

    Article  Google Scholar 

  38. Vipparthi SK, Murala S, Nagar SK (2015) Dual directional multi-motif xor patterns: a new feature descriptor for image indexing and retrieval. Opt Int J Light Electron Opt 126(15):1467–1473

    Article  Google Scholar 

  39. Vipparthi SK, Murala S, Nagar SK, Gonde AB (2015) Local gabor maximum edge position octal patterns for image retrieval. Neurocomputing 167:336–345

    Article  Google Scholar 

  40. Vipparthi SK, Nagar S (2014) Expert image retrieval system using directional local motif xor patterns. Expert Syst Appl 41(17):8016–8026

    Article  Google Scholar 

  41. Vipparthi SK, Nagar SK (2014) Color directional local quinary patterns for content based indexing and retrieval. Hum Centric Comput Inf Sci 4(1):6

    Article  Google Scholar 

  42. Vipparthi SK, Nagar SK (2014) Multi-joint histogram based modelling for image indexing and retrieval. Comput Electr Eng 40(8):163–173

    Article  Google Scholar 

  43. Xavier L, Mary ITB, Raj WND (2011) Content based image retrieval using textural features based on pyramid-structure wavelet transform. In: 2011 3rd International conference on electronics computer technology (ICECT), vol 4. IEEE, pp 79–83

  44. Yao CH, Chen SY (2003) Retrieval of translated, rotated and scaled color textures. Pattern Recognit 36(4):913–929

    Article  Google Scholar 

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Acknowledgements

Our sincere thanks to Mr. Prashant W. Patil and Mr. Akshay A. Dudhane (Research Scholars), Computer Vision and Pattern Recognition Laboratory, IIT Ropar, Punjab, India for their valuable technical discussions during this work. We would like to extend our gratitude towards the anonymous reviewers, because of their insights the manuscript quality improved.

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Correspondence to G. M. Galshetwar.

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Galshetwar, G.M., Waghmare, L.M., Gonde, A.B. et al. Multi-dimensional multi-directional mask maximum edge pattern for bio-medical image retrieval. Int J Multimed Info Retr 7, 231–239 (2018). https://doi.org/10.1007/s13735-018-0156-0

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