Skip to main content
SpringerLink
Log in

Intensity and Region-Based Feature Recognition in Solar Images

  • Chapter
Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images

Part of the book series: Studies in Computational Intelligence ((SCI,volume 46))

  • 1006 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Argenziano, G. et al. (2003). Dermoscopy of pigmented skin lesions: Results of a consensus meeting via the Internet. J. Am. Acad. Dermatol., 48(5), 680-693

    Google Scholar 

  • Baxes, G. (1994). Digital image processing: principles and applications. New York: Wiley

    Google Scholar 

  • Benkhalil, A.K., Zharkova, V., Ipson, S., & Zharkov, S. (2003). Proceedings of the AISB'03 symposium on biologically-inspired machine vision, theory and application. Aberystwyth: University of Wales, p. 66

    Google Scholar 

  • Bentley, R.D. (2002). Proceedings of the second solar cycle and space weather Euro-conference,24-29 September2001. Huguette, S-L.(Ed.), Vico Equense, Italy: ESA Publication SP-477

    Google Scholar 

  • Berghmans, D., Foing, B.H., & Fleck, B. (2002). Automated detection of CMEs in LASCO data. In Proceedings of the SOHO-11 workshop, from solar min to max: Half a solar cycle with SOHO. Switzerland: Davos

    Google Scholar 

  • Bono, A., Tomatis, S., Bartoli, C. (1996). The invisible colors of melanoma. A telespectrophotometric diagnostic approach on pigmented skin lesions. Eur. J. Cancer, 32A, 727-729

    Article  Google Scholar 

  • Bow, S.-T. (2002). Pattern recognition and image processing. New York, USA: Dekker

    Google Scholar 

  • Brandt, P.N., Schmidt, W., & Steinegger, M. (1990). On the umbra-penumbra area ratio of sunspots. Solar Phys., 129, 191

    Article  Google Scholar 

  • Bratsolis, E., & Sigelle, M. (1998). Solar image segmentation by use of mean field fast annealing. Astron. Astrophys. Suppl. Ser., 131, 371-375

    Article  Google Scholar 

  • Burges, C. (2001). A tutorial on support vector machines for pattern recognition. URL: http://www.kernel-machines.org

  • Burns, J.R., Hanson, A.R., & Riseman, E.M. (1986). Extracting straight lines. IEEE Trans. Pattern Anal. Mach. Intell., 8, 425-455

    Article  Google Scholar 

  • Canny, J. (1986). A computational approach to edge detection. IEEE Trans. Pat-tern Anal., 6, 679-698

    Article  Google Scholar 

  • Casasent, D. (1992). New advances in correlation filters. Proc. SPIE Conf. Intell. Robots Comput. Vision, 1825(XI), 2-10

    Google Scholar 

  • Chapman, G.A., & Groisman, G. (1984). A digital analysis of sunspot areas. Solar Phys., 91, 45

    Google Scholar 

  • Chapman, G.A., Cookson, A.M., & Dobias, J.J. (1994a). Observations of changes in the bolometric contrast of sunspots. Astrophys. J., 432, 403-408

    Article  Google Scholar 

  • Chapman, G.A., Cookson, A.M., & Hoyt, D.V. (1994b). Solar irradiance from Nimbus-7 compared with ground-based photometry. Solar Phys., 149, 249

    Article  Google Scholar 

  • Christianini, N., & Shawe-Taylor, J. (2000). An introduction to support vector machines. Cambridge: Cambridge University Press

    Google Scholar 

  • Chung, D.H., & Sapiro, G. (2000). Segmenting skin lesions with partial-differential-equations-based image processing algorithms. IEEE Trans. Med. Imaging, 19(7), 763-767

    Article  Google Scholar 

  • Chwirot, W., Chwirot, S., Redziski, J., & Michniewicz, Z. (1998). Detection of melanomas by digital imaging of spectrally resolved ultraviolet light-induced autofluorescence of human skin. Eur. J. Cancer, 34, 1730-1734

    Article  Google Scholar 

  • Cuisenaire, O., & Macq, B. (1999). Fast and exact signed Euclidean distance transformation with linear complexity. In Proceedings of the IEEE interna-tional conference on acoustics, speech and signal processing, Vol. 6, pp. 3293-3296. Phoenix, AZ: ICCASSP99

    Google Scholar 

  • van Driel-Gesztelyi, L. (2002). Proceedings of the SOLMAG, the magnetic cou-pling of the solar atmosphere euroconference & IAU colloquium 188, Greece, June 2002, p. 113

    Google Scholar 

  • Duda, R.O., & Hart, P.E. (1973). Pattern classification and skin analysis. New York: Wiley

    Google Scholar 

  • Durrant, C.J. (2002). Polar magnetic fields - filaments and the zero-flux contour. Solar Phys. 211, 83-102

    Article  Google Scholar 

  • Falconer, D.A., Moore, R.L., Porter, J.G., & Gary, G.A. (1997). Neutral-line mag-netic shear and enhanced coronal heating in solar active regions. Astrophys. J., 482, 519-534

    Article  Google Scholar 

  • Fuller, N., Aboudarham, J., & Bentley, R.D. (2005). Filament recognition and image cleaning on Meudon Halpha Spectroheliograms. Solar Phys.,227(1), 61-73

    Article  Google Scholar 

  • Ganster, H., Pinz, P., Rohrer, R., Wildling, E., Binder, M., & Kittler, H. (2001). Automated melanoma recognition. IEEE Trans. Med. Imaging, 20(3), 233-239

    Article  Google Scholar 

  • Geman, S., & Geman, D. (1984). Stochastic relaxation, Gibbs distribution and the Bayesian restoration of images. IEEE Trans. Pattern Anal. Mach. Intell., 6, 721-741

    Article  MATH  Google Scholar 

  • Gonzalez, R.C., & Woods, R.E. (2001). Digital Image Processing. New Jersey: Prentice-Hall

    Google Scholar 

  • Gonzalez, R.C., & Woods, R.E. (2002). Digital image processing, 2nd edn., Upper Saddle River, NJ: Prentice-Hall

    Google Scholar 

  • Gutenev, A., Skladnev, V.N., & Varvel, D. (2001). Acquisition-time image quality control in digital dermatoscopy of skin lesions. Comput. Med. Imaging Graph., 25, 495-499

    Article  Google Scholar 

  • GyÅ‘ri, L. (1998). Automation of area measurement of sunspots. Solar Phys., 180, 109-130

    Article  Google Scholar 

  • Hagyard, M.J., Smith, J.E., Teuber, D., & West, E.A. (1984). A quantitative study relating to observed shear in photospheric magnetic fields to repeated flaring. Solar Phys., 91, 115-126

    Article  Google Scholar 

  • Handels, H., Roß, T., Kreusch, J., Wolff, H.H., & Pöppl, S.J. (1999). Feature se-lection for optimized skin tumor recognition using genetic algorithms. Artif. Intell. Med., 16, 283-297

    Article  Google Scholar 

  • Hansen, G., Sparrow, E., Kokate, J., Leland, K., Iaizzo, P. (1997). Wound status evaluation using color image processing. IEEE Trans. Med. Imaging, 16(1), 78-86

    Article  Google Scholar 

  • Herbin, M., Bon, F., Venot, A., Jeanlouis, F., Dubertret, M., Dubertret, L., Strauch, G. (1993). Assessment of healing kinetics through true color image processing. IEEE Trans. Med. Imaging, 12(1), 39-43

    Article  Google Scholar 

  • Hill, M., Castelli, V., Chung-Sheng, L., Yuan-Chi, C., Bergman, L., Smith, J.R., & Thompson, B. (2001). International conference on image processing, Thes-saloniki, Greece, 7-10 October 2001, Vol. 1, p. 834

    Google Scholar 

  • Huertas, A., & Medioni, G. (1986). Detection of intensity changes with sub-pixel accuracy using Laplacian-Gaussian masks. IEEE Trans. Pattern Recognit. Mach. Intell., 8(5), 651-664

    Article  Google Scholar 

  • Ipson, S.S, Zharkova, V.V, Benkhalil, A.K, Zharkov, S.I, Aboudarham, J. (2002). SPIE Astronomical telescopes and instrumentation, astronomical data analysis II (AS14) conference, Hawaii, USA, August 2002. Innovative telescopes and instrumentation for solar astrophysics. In Stephen, L.K., & Sergey, V.A. (Eds.). Proceedings of the SPIE, 4853, 675

    Google Scholar 

  • Jackway, P. (1996). Gradient watersheds in morphological scale-space. IEEE Trans. Image Process., 5, 913-921

    Article  Google Scholar 

  • Jahne, B. (1997). Digital image processing. Berlin Heidelberg New York: Springer

    Google Scholar 

  • Jain, A.K. (1986). Advances in statistical pattern recognition. In Devijer, P.A., & Kittler, J. (Eds.). Pattern recognition, theory and applications. Berlin Heidel-berg New York: Springer

    Google Scholar 

  • Jain, A.K., & Waller, W.G. (1978). On the optimal number of features in the clas-sification of multivariate gaussian data. Pattern Recogt., 10, 365-374

    Article  MATH  Google Scholar 

  • Jones, B. (1998). Reappraisal of the use of infrared thermal image analysis in medicine. IEEE Trans. Med. Imaging, 17(6), 1019-1027

    Article  Google Scholar 

  • Kittler, J., & Illingworth, J. (1985). On threshold selection using clustering crite-ria. IEEE Trans. Syst. Man Cyber., SMC-15, 652-655

    Google Scholar 

  • Kudo, M., & Sklansky, J., (2000). Comparison of algorithms that select features for pattern classifiers. Pattern Recognit., 33, 25-41

    Article  Google Scholar 

  • Kullback, S. (1959). Information theory and statistics. New York: Wiley

    MATH  Google Scholar 

  • Lee, T., Ng, V., Gallagher, R., Coldman, A., & McLean, D. (1997). DullRazor: A software approach to hair removal from images. Comput. Biol. Med., 27, 533-543

    Article  Google Scholar 

  • Lee, S.U., Chung, S.Y., & Park, R.H. (1990). A comparative performance study of several global thresholding techniques for segmentation. Comput. Vis. Graph. Image Process., 52(2), 171-190

    Article  Google Scholar 

  • Li, C.S., Yu, P.S., & Castelli, V. (1998). MALM: a framework for mining sequence databases at multiple abstraction levels. In: Proceedings of the 7th International Conference Information Knowledge Management, CIKM’98, MD, USA, pp. 267-272

    Google Scholar 

  • Loane, M., Gore, H., Corbet, R., & Steele, K. (1997). Effect of camera perform-ance on diagnostic accuracy. J. Telemed. Telecare, 3, 83-88

    Article  Google Scholar 

  • Lohman, W., & Paul, E. (1988). In situ detection of melanomas by fluorescence measurements. Naturewissenschaften, 75, 201-202

    Article  Google Scholar 

  • Maglogiannis, I., Pavlopoulos, S., & Koutsouris, D. (2005). An integrated com-puter supported acquisition, handling and characterization system for pig-mented skin lesions in dermatological images. IEEE Trans. Inform. Technol. Biomed., 9(1), 86-98

    Article  Google Scholar 

  • Maglogiannis, I. (2003). Automated segmentation and registration of dermatologi-cal images. J. Math. Model. Algorithms, 2, 277-294

    Article  MathSciNet  Google Scholar 

  • Maglogiannis, I., Caroni, C., Pavlopoulos, S., & Karioti, V. (2001). Utilizing arti-ficial intelligence for the characterization of dermatological images, 4th inter-national conference neural networks and expert systems in medicine and healthcare. Greece: NNESMED, pp. 362-368

    Google Scholar 

  • Maintz, J.B., & Viergever, M.A. (1998). A survey of medical image registration. J. Med. Image Anal., 2(1), 1-36

    Article  Google Scholar 

  • Mansfield, J., Sowa, M., Payette, J., Abdulrauf, B., Stranc, M., & Mantsch, H. (1998). Tissue viability by multispectral near infrared imaging: A fuzzy C-means clustering analysis. IEEE Trans. Med. Imaging, 17(6), 1011-1018

    Article  Google Scholar 

  • Mardia, K.V., Kent, J.T. & Bibby, J.M. (1979). Multivariate analysis. London: Academic

    MATH  Google Scholar 

  • Marks, R. (2000). Epidemiology of melanoma. Clin. Exp. Dermatol., 25, 459-463

    Article  Google Scholar 

  • Marr, D., & Hildreth, E. (1980). Theory of edge detection. Proc. R. Soc. Lond., B207, 187-217

    Article  Google Scholar 

  • Matheron, G. (1975). Random sets and integral geometry. New York: Wiley

    MATH  Google Scholar 

  • Metropolis, N., Rosenbluth, A., Rosenbluth, M., Teller, A., & Teller, E. (1953). J. Chem. Phys., 21, 1087-1092

    Article  Google Scholar 

  • Moncrieff, M., Cotton, S., Claridge, E., & Hall, P. (2002). Spectrophotometric in-tracutaneous analysis - a new technique for imaging pigmented skin lesions. Br. J. Dermatol., 146(3), 448-457

    Article  Google Scholar 

  • Mouradian, Z. (1998). Synoptic Solar Phys. ASP Conf. Ser., 140, 181

    Google Scholar 

  • Nachbar, F., Stolz, W., Merkle, T., Cognetta, A.B., Vogt, T., Landthaler, M., Bilek, P., Braun-Falco, O., & Plewig, G. (1994). The ABCD rule of dermato-scopy: High prospective value in the diagnosis of doubtful melanocytic skin lesions. J. Am. Acad. Dermatol., 30(4), 551-559

    Article  Google Scholar 

  • Nischic, M., & Forster, C. (1997). Analysis of skin erythema using true color im-ages. IEEE Trans. Med. Imaging, 16(6)

    Google Scholar 

  • NOAA National Geophysical Data Center. URL: http://www.ngdc.noaa.gov./stp/SOLAR /ftpsunspotregions.html

  • NOAA (2005). http://www.solar.ifa.hawaii.edu/ARMaps/armaps.html

  • O’Gorman, F., & Clowes, M.B. (1976). Finding picture edges through collinearity of feature points. IEEE Trans. Comput., C25, 449-454

    Article  Google Scholar 

  • Otsu, N. (1979). A threshold selection method from gray level histograms. IEEE Trans. Syst. Man Cyber., SMC-9, 62-66

    Google Scholar 

  • Pap, J.M., Turmon, M., Mukhtar, S., Bogart, R., Ulrich, R., Fröhlich, C., Wehrli, Ch. (1997). Automated recognition and characterization of solar active regions based on the SOHO/MDI images. In: Wilson, A. (Ed.). 31st ESLAB Symposium, Held 22-25 September 1997, Vol. 477, ESTEC, Noordwijk, The Netherlands, European Space Agency, ESA SP-415

    Google Scholar 

  • Pariser, R.J., & Pariser, D.M., (1987). Primary care physicians errors in handling cutaneous disorders. J. Am. Acad. Dermatol., 17, 239-245

    Article  Google Scholar 

  • Pettauer, T., Brandt, P.N. (1997). On novel methods to determine areas of sun-spots from photoheliograms. Solar Phys., 175, 197

    Article  Google Scholar 

  • Preminger, D.G., Walton, S.R., & Chapman, G.A. (2001). Solar feature identifica-tion using contrast and contiguity. Solar Phys., 202, 53

    Article  Google Scholar 

  • Priest, E.R. (1984). Solar magneto-hydrodynamics. Geophys. Astrophys. Mono-graphs. Dordrecht: Reidel

    Google Scholar 

  • Priest, E.R. (1984). Geophys. Astrophys. Monographs. Dordrecht: Reidel

    Google Scholar 

  • Rohr, K. et al. (2001). Landmark based elastic registration using approximating thin plate splines. IEEE Trans. Med. Imaging, 20(6), 526-534

    Article  Google Scholar 

  • Rosenfeld, A., & Pfaltz, J.L. (1966). Sequential operations in digital image proc-essing. J. Assoc. Comp. Mach., 13, 471-494

    MATH  Google Scholar 

  • Rubegni, P., Cevenini, G., Burroni, M., Perotti, R., Dell’eva, G., Sbano, P., Miracco, C., Luzi, P., Tosi, P., Barbini, P., & Andreassi, L. (2002). Auto-mated diagnosis of pigmented skin lesions. Int. J. Cancer, 101, 576-580

    Article  Google Scholar 

  • Sanders, J., Goldstein, B., Leotta, D., & Richards, K. (1999). Image processing techniques for quantitative analysis of skin structures. Comput. Methods Pro-grams Biomed., 59, 167-180

    Article  Google Scholar 

  • Serra, J. (1988). Image analysis and mathematical morphology, Vol. 1. London: Academic

    Google Scholar 

  • Shrauner, J.A., & Scherrer, P.H. (1994). East-west inclination of large-scale pho-tospheric magnetic fields. Solar Phys., 153, 131-141

    Article  Google Scholar 

  • Solar Index Data Catalogue, Belgian Royal Observatory. http://sidc.oma.be/-products

  • Steinegger, M., & Brandt, P.N. (1998). Solar Phys., 177, 287

    Article  Google Scholar 

  • Steinegger, M., Bonet, J.A., & Vazquez, M. (1997). Simulation of seeing influ-ences on the photometric determination of sunspot areas. Solar Phys., 171, 303

    Article  Google Scholar 

  • Steinegger, M., Brandt, P.N., Pap, J., & Schmidt, W. (1990). Sunspot photometry and the total solar irradiance deficit measured in 1980 by ACRIM. Astrophys. Space. Sci., 170, 127-133

    Article  Google Scholar 

  • Steinegger, M., Vazquez, M., Bonet, J.A., & Brandt, P.N. (1996). On the energy balance of Solar Active Region. Astrophys. J., 461, 478. 24/10/0624/10/06

    Google Scholar 

  • Tomatis, S., Bartol, C., Tragni, G., Farina, B., & Marchesini, R. (1998). Image analysis in the RGB and HS colour planes for a computer assisted diagnosis of cutaneous pigmented lesions. Tumori, 84, 29-32

    Google Scholar 

  • Tsap, L., Goldgof, D., Sarkar, S., & Powers, P. (1998). Vision-based technique for objective assessment of burn scars. IEEE Trans. Med. Imaging, 17, 620-633

    Article  Google Scholar 

  • Turmon, M., Pap, J.M., & Mukhtar, S. (1998). Proceedings of the SoHO 6/GONG 98 workshop, structure and dynamics of the interior of the sun and sun-like stars, Boston

    Google Scholar 

  • Ulrich, R.K., Evens, S., Boyden, J.E., & Webster, L. (2002). Mount Wilson syn-optic magnetic fields: Improved instrumentation, calibration and analysis applied to the 2000 July 14 flare and to the evolution of the dipole field. As-trophys. J. Suppl. Ser., 139(1), 259-279

    Article  Google Scholar 

  • Umbaugh, S., Wei, Y., & Zuke, M. (1997). Feature extraction in image analysis. IEEE Eng. Med. Biol., 16, 62-73

    Article  Google Scholar 

  • Umbaugh, S.E., Moss, R.H., & Stoecker, W.V. (1993). Automatic color segmenta-tion of images with application to skin tumor feature identification. IEEE Eng. Med. Biol. Mag., 12(3), 75-82

    Article  Google Scholar 

  • Umbaugh, S.E., Moss, R.H., & Stoecker, W.V. (1991). Applying artificial intelli-gence to the identification of variegated coloring in skin tumors. IEEE Eng. Med. Biol. Mag., 57-62

    Google Scholar 

  • Veronig, A., Steinegger, M., Otruba, W., Hanslmeier, A., Messerotti, M., & Temmer, M. (2001). HOBUD7, 24(1), 195-2001

    Google Scholar 

  • Waldmeier, M. (1961). The sunspot activity in the years 1610-1960, sunspot ta-bles. Zurich: Schulthess

    Google Scholar 

  • Walton, S.R., Chapman, G.A., Cookson, A.M., Dobias, J.J., & Preminger, D.G. (1998). Processing photometric full-disk solar images. Solar Phys., 179(1), 31-42

    Article  Google Scholar 

  • Wells, W.M., Viola, P., Atsumi, H., Nakajima, S., & Kikinis, R. (1997). Multi-modal volume registration by maximization of mutual information. Med. Im-age Anal., 1, 35-51

    Article  Google Scholar 

  • Worden, J.R., White, O.R., & Woods, T.N. (1996). Solar Phys., 177, 255

    Article  Google Scholar 

  • Xu, L., Jackowski, M., Goshtasby, A., Roseman, D., Bines, S., Yu, C., Dhawan, A., & Huntley, A. (1999). Segmentation of skin cancer images. Image Vis. Comput., 17, 65-74

    Article  Google Scholar 

  • Zhang, Z., Stoecker, W.V., & Moss, R.H. (2000). Border detection on digitized skin tumor images. IEEE Trans. Med. Imaging, 19(11), 1128-1143

    Article  Google Scholar 

  • Zharkov, S.I., & Zharkova, V.V. (2004). Statistical analysis of sunspot area and magnetic flux variations in 2001-2003, IAU Symposium 223. Multi-Wavelength Investigations of Solar Activity, St. Petersburg, Russia, 14-19 June 2004

    Google Scholar 

  • Zharkov, S.I., & Zharkova, V.V. (2006). Statistical analysis of the sunspot area and magnetic flux variations in 1996-2005 extracted from the Solar Feature Catalogue. Adv. Space Res. 38(5), 568-575

    Google Scholar 

  • Zharkov, S.I, Zharkova, V.V., & Ipson, S.S. (2005a). Statistical properties of sun-spots and their magnetic field detected from full disk SOHO/MDI images in 1996-2003. Solar Phys., 228(1), 401-423

    Google Scholar 

  • Zharkov, S., Zharkova, V., Ipson, S., & Benkhalil, A. (2005b). The technique for automated recognition of sunspots on full disk solar images. EURASIP J. Appl. Signal Process. (EURASIP JASP), 15, 2573-2584

    Article  Google Scholar 

  • Zharkova, V.V., Aboudarham, J., Zharkov, S., Ipson, S.S., Benkhalil, A.K., & Fuller, N. (2005). Solar Phys., 228, 61

    Google Scholar 

  • Zharkova, V.V., Ipson, S.S., Zharkov, S.I., Benkhalil, A.K., Aboudarham, J., & Bentley, R.D. (2003). Solar Phys., 214, 89

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computing and Department of Cybernetics, Bradford University, BD7 1DP, Bradford, UK

    Prof. Valentina Zharkova

  2. EIMC Department, University of Bradford, BD7 1DP, Bradford, UK

    S. S. Ipson

  3. Department of Applied Mathematics, University of Sheffield, SH3, Sheffield, UK

    S. I. Zharkov

  4. Department of Information and Communication Systems Engineering, University of Aegean, Karlovasi, 83200, Samos, Greece

    Ilias Maglogiannis

Authors
  1. Prof. Valentina Zharkova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. S. Ipson
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. I. Zharkov
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ilias Maglogiannis
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Bradford University, BD7 1DP, Bradford, UK

    Valentina Zharkova

  2. University of South Australia, Mawson Lake Campus, SA 5095, South Australia, Australia

    Lakhmi C. Jain

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Zharkova, V., Ipson, S.S., Zharkov, S.I., Maglogiannis, I. (2007). Intensity and Region-Based Feature Recognition in Solar Images. In: Zharkova, V., Jain, L.C. (eds) Artificial Intelligence in Recognition and Classification of Astrophysical and Medical Images. Studies in Computational Intelligence, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-47518-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-47518-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47511-8

  • Online ISBN: 978-3-540-47518-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation