Virus texture analysis using local binary patterns and radial density profiles

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7042 LNCS, Issue , 2011, Pages 573-580

  Kylberg, Gustaf ^a   Uppström, Mats ^b   Sintorn, Ida Maria ^a  

^a Centre for Image Analysis   (Sweden)

^b VIRONOVA AB   (Sweden)

Author keywords

local binary patterns; radial density profiles; texture analysis; virus morphology

Indexed keywords

DISCRIMINANT POWER; FOURIER DOMAINS; LOCAL BINARY PATTERNS; MULTISCALES; RADIAL DENSITY PROFILE; RANDOM FOREST CLASSIFIER; SPATIAL DOMAINS; TEXTURE ANALYSIS; TEXTURE PROPERTIES;

COMPUTER VISION; CONTENT BASED RETRIEVAL; DECISION TREES; TRANSMISSION ELECTRON MICROSCOPY; VIRUSES;

TEXTURES;

EID: 81855226072     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25085-9_68     Document Type: Conference Paper

References (15)

1. Goldsmith, C.S., Miller, S.E.: Modern uses of electron microscopy for detection of viruses. Clin. Microbiol. Rev. 22(4), 552-563 (2009)
2. Biel, S.S., Madeley, D.: Diagnostic virology - the need for electron microscopy: a discussion paper. J. Clin. Virol. 22(1), 1-9 (2001)
3. Matuszewski, B.J., Shark, L.K.: Hierarchical iterative bayesian approach to automatic recognition of biological viruses in electron microscope images. In: Proc. of 2001 International Conference on Image Processing (ICIP), vol. 2, pp. 347-350 (2001)
4. Ong, H.C.L.: Virus recognition in electron microscope images using higher order spectral features. PhD thesis, Queensland University of Technology (2006)
5. Harwood, D., Ojala, T., Pietikäinen, M., Kelman, S., Davis, L.: Texture classification by center-symmetric auto-correlation, using kullback discrimination of distributions. Pattern. Recogn. Lett. 16(1), 1-10 (1995)
6. Ojala, T., Pietikäinen, M., Harwood, D.: A comparative study of texture measures with classification based on featured distributions. Pattern. Recogn. 29(1), 51-59 (1996)
7. Hervé, N., Servais, A., Thervet, E., Olivo-Marin, J.C., Meas-Yedid, V.: Statistical color texture descriptors for histological images analysis. In: Proc. of IEEE International Symposium on Biomedical Imaging (ISBI), pp. 724-727 (2011)
8. Zhang, B.: Classification of subcellular phenotype images by decision templates for classifier ensemble. In: Pham, T., Zhou, X. (eds.) Proc. of 2009 International Conference on Computational Models for Life Sciences (CMLS), pp. 13-22 (2010)
9. Mäenpää, T.: The local binary pattern approach to texture analysis - extensions and applications. PhD thesis, University of Oulu (2003)
10. Sintorn, I.M., Homman-Loudiyi, M., Söderberg-Nauclér, C., Borgefors, G.: A refined circular template matching method for classification of human cytomegalovirus capsids in TEM images. Comput. Meth. Prog. Bio. 76, 95-102 (2004)
11. Bhella, D., Rixon, F.J., Dargan, D.J.: Cryomicroscopy of human cytomegalovirus virions reveals more densely packed genomic DNA than in herpes simplex virus type 1. J. Mol. Biol. 295, 155-161 (2000)
12. Trus, B.S., Gibson, W., Cheng, N., Steven, A.C.: Capsid structure of Simian cytomegalovirus from cryoelectron microscopy: Evidence for tegument attachment sites. J. Virol. 73(3), 2181-2192 (1999)
13. Breiman, L.: Random forests. Machine Learning 45, 5-32 (2001)
14. Kylberg, G., Uppström, M., Hedlund, K.O., Borgefors, G., Sintorn, I.M.: Segmentation of virus particle candidates in transmission electron microscopy images (manuscript, 2011)
15. Mäenpää, T., Ojala, T., Pietikäinen, M., Soriano, M.: Robust texture classification by subsets of local binary patterns. In: Proc. of International Conference on Pattern Recognition (ICPR), pp. 3947-3950 (2000)