Content-based retrieval of biomedical images using orthogonal Fourier-Mellin moments

References

• Banerjee P , Bhunia AK , Bhattacharyya A , Roy PP , Murala S . 2017. Local neighborhood intensity pattern. A new texture feature descriptor for image retrieval. arXiv preprint arXiv: 1709.02463.
   Google Scholar
• Chakraborty S , Singh SK , Chakraborty P . 2017. Local directional gradient pattern: a local descriptor for face recognition. Multimedia Tools Appl. 76(1):1201–1216.10.1007/s11042-015-3111-6
   Web of Science ®Google Scholar
• Deep G , Kaur L , Gupta S . 2016. Directional local ternary quantized extrema pattern: a new descriptor for biomedical image indexing and retrieval. Eng Sci Technol Int J. 19(4):1895–1909.10.1016/j.jestch.2016.05.006
   Google Scholar
• Deep G , Kaur L , Gupta S . 2017. Local quantized extrema quinary pattern: a new descriptor for biomedical image indexing and retrieval. Comput Methods Biomech Biomed Eng Imaging Visual. 1–17.
   Google Scholar
• Deep G , Kaur L , Gupta S . 2018. Local mesh ternary patterns: a new descriptor for MRI and CT biomedical image indexing and retrieval. Comput Methods Biomech Biomed Eng Imaging Visual. 6(2):155–169.
   Web of Science ®Google Scholar
• Dubey SR , Singh SK , Singh RK . 2015a. Local wavelet pattern: a new feature descriptor for image retrieval in medical CT databases. IEEE Trans Image Process. 24(12):5892–5903.10.1109/TIP.2015.2493446
   PubMed Web of Science ®Google Scholar
• Dubey SR , Singh SK , Singh RK . 2015b. Local diagonal extrema pattern: a new and efficient feature descriptor for CT image retrieval. IEEE Signal Process Lett. 22(9):1215–1219.10.1109/LSP.2015.2392623
   Web of Science ®Google Scholar
• Dubey SR , Singh SK , Singh RK . 2016a. Local bit-plane decoded pattern: a novel feature descriptor for biomedical image retrieval. IEEE J Biomed Health Inf. 20(4):1139–1147.10.1109/JBHI.2015.2437396
   Web of Science ®Google Scholar
• Dubey SR , Singh SK , Singh RK . 2016b. Novel local bit-plane dissimilarity pattern for computed tomography image retrieval. Electron Lett. 52(15):1290–1292.10.1049/el.2016.1206
   Web of Science ®Google Scholar
• ul Hussain S , Triggs B . 2012. Visual recognition using local quantized patterns. Computer Vision–ECCV 2012. Berlin: Springer; p. 716–729.10.1007/978-3-642-33709-3
   Google Scholar
• Kan C , Srinath MD . 2002. Invariant character recognition with Zernike and orthogonal Fourier-Mellin moments. Pattern Recogn. 35(1):143–154.10.1016/S0031-3203(00)00179-5
   Web of Science ®Google Scholar
• Karakasis EG , Papakostas GA , Koulouriotis DE , Tourassis VD . 2014. A unified methodology for computing accurate quaternion color moments and moment invariants. IEEE Trans Image Process. 23(2):596–611.10.1109/TIP.2013.2289997
   PubMed Web of Science ®Google Scholar
• Kokare M , Chatterji BN , Biswas PK . 2002. A survey on current content based image retrieval methods. IETE J Res. 48(3–4):261–271.10.1080/03772063.2002.11416285
   Web of Science ®Google Scholar
• Liu Y , Zhang D , Lu G , Ma WY . 2007. A survey of content-based image retrieval with high-level semantics. Pattern Recogn. 40(1):262–282.10.1016/j.patcog.2006.04.045
   Web of Science ®Google Scholar
• Manjunath KN , Renuka A , Niranjan UC . 2007. Linear models of the cumulative distribution function for content-based medical image retrieval. J Med Syst. 31(6):433–443.10.1007/s10916-007-9075-y
   PubMed Web of Science ®Google Scholar
• Muller H , Michoux N , Bandon D , Geisbuhler A . 2004. A review of content-based image retrieval systems in medical applications–clinical benefits and future directions. Int J Med Inf. 73(1):1–23.10.1016/j.ijmedinf.2003.11.024
   PubMed Web of Science ®Google Scholar
• Murala S , Maheshwari RP , Balasubramanian R . 2012. Local tetra patterns: a new feature descriptor for content-based image retrieval. IEEE Trans Image Process. 21(5):2874–2886.10.1109/TIP.2012.2188809
   PubMed Web of Science ®Google Scholar
• Murala S , Wu QMJ . 2013. Local ternary co-occurrence patterns: a new feature descriptor for MRI and CT image retrieval. Neurocomputing. 119:399–412.10.1016/j.neucom.2013.03.018
   Web of Science ®Google Scholar
• Murala S , Wu QMJ . 2014a. Local mesh patterns versus local binary patterns: biomedical image indexing and retrieval. IEEE J Biomed Health Inf. 18(3):929–938.10.1109/JBHI.2013.2288522
   PubMed Web of Science ®Google Scholar
• Murala S , Wu QMJ . 2014b. MRI and CT image indexing and retrieval using local mesh peak valley edge patterns. Signal Process Image Commun. 29(3):400–409.
   Web of Science ®Google Scholar
• Murala S , Wu QMJ . 2015. Spherical symmetric 3D local ternary patterns for natural, texture and biomedical image indexing and retrieval. Neurocomputing. 149:1502–1514.10.1016/j.neucom.2014.08.042
   Web of Science ®Google Scholar
• NEMA . 2005a. Data from: NEMA CT Image Database [dataset]. [accessed 2018 March 10]. ftp://medical.nema.org/medical/Dicom/MultiFrame/CT.
   Google Scholar
• NEMA . 2005b. Data from: NEMA MR Image Database [dataset]. [accessed 2018 March 10]. ftp://medical.nema.org/medical/Dicom/MultiFrame/MR.
   Google Scholar
• Ojala T , Pietikäinen M , Harwood D . 1996. A comparative study of texture measures with classification based on featured distributions. Pattern Recogn. 29(1):51–59.10.1016/0031-3203(95)00067-4
   Web of Science ®Google Scholar
• Ojala T , Pietikäinen M , Harwood D . 2002. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Anal Mach Intell. 24:971–987.10.1109/TPAMI.2002.1017623
   Web of Science ®Google Scholar
• Rao LK , Rao DV . 2015. Local quantized extrema patterns for content-based natural and texture image retrieval. Human-centric Comput Inf Sci. 5(1):26.
   Web of Science ®Google Scholar
• Rui Y , Huang TS , Chang SF . 1999. Image retrieval: current techniques, promising directions, and open issues. J Visual Commun Image Represent. 10(1):39–62.10.1006/jvci.1999.0413
   Web of Science ®Google Scholar
• Sheng Y , Shen L . 1994. Orthogonal Fourier-Mellin moments for invariant pattern recognition. JOSA A. 11(6):1748–1757.10.1364/JOSAA.11.001748
   Google Scholar
• Singh C , Aggarwal A . 2017. An efficient and robust multi-frame image super-resolution reconstruction using orthogonal Fourier-Mellin moments. Displays. 49:101–115.10.1016/j.displa.2017.06.002
   Web of Science ®Google Scholar
• Singh C , Pooja . 2012. An effective image retrieval using the fusion of global and local transforms based features. Opt Laser Technol. 44:2249–2259.10.1016/j.optlastec.2012.02.030
   Web of Science ®Google Scholar
• Singh C , Sharma P . 2013. Performance analysis of various local and global shape descriptors for image retrieval. Multimedia Syst. 19:339–357.10.1007/s00530-012-0288-7
   Web of Science ®Google Scholar
• Singh C , Upneja R . 2014. Error analysis in the computation of orthogonal rotation invariant moments. J Math Imaging Vision. 49:251–271.10.1007/s10851-013-0456-1
   Web of Science ®Google Scholar
• Singh C , Walia E , Kaur KP . 2018. Color texture description with novel local binary patterns for effective image retrieval. Pattern Recogn. 76:50–68.10.1016/j.patcog.2017.10.021
   Web of Science ®Google Scholar
• Smeulders AWM , 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):1349–1380.10.1109/34.895972
   Web of Science ®Google Scholar
• Tan X , Triggs B . 2010. Enhanced local texture feature sets for face recognition under difficult lighting conditions. IEEE Trans Image Process. 19(6):1635–1650.
   PubMed Web of Science ®Google Scholar
• Verma M , Raman B . 2016. Local tri-directional patterns: a new texture feature descriptor for image retrieval. Digital Signal Process. 51:62–72.10.1016/j.dsp.2016.02.002
   Web of Science ®Google Scholar
• Verma M , Raman B . 2017. Local neighborhood difference pattern: a new feature descriptor for natural and texture image retrieval. Multimedia Tools Appl. 1–24.
   Web of Science ®Google Scholar
• Walia E , Singh C , Goyal A . 2012. On the fast computation of orthogonal Fourier-Mellin moments with improved numerical stability. J Real-Time Image Proc. 7(4):247–256.10.1007/s11554-010-0172-7
   Web of Science ®Google Scholar
• Wang X , Xiao B , Ma JF , Bi XL . 2007. Scaling and rotation invariant analysis approach to object recognition based on Radon and Fourier–Mellin transforms. Pattern Recogn. 40(12):3503–3508.10.1016/j.patcog.2007.04.020
   Web of Science ®Google Scholar