3D NON-INVASIVE INSPECTION OF THE SKIN LESIONS BY CLOSE-RANGE AND LOW-COST PHOTOGRAMMETRIC TECHNIQUES

Authors

  • Ahmet B. Orun De Montfort University
  • Eric Goodyer De Montfort University
  • Geoff Smith De Montfort University

DOI:

https://doi.org/10.5566/ias.1730

Keywords:

bundle adjustment, low-cost inspection, skin imaging, stereoscopy

Abstract

In dermatology, one of the most common causes of skin abnormality is an unusual change in skin lesion structure which may exhibit very subtle physical deformation of its 3D shape. However the geometrical sensitivity of current cost-effective inspection and measurement methods may not be sufficient to detect such small progressive changes in skin lesion structure at micro-scale. Our proposed method could provide a low-cost, non-invasive solution by a compact system solution to overcome these shortcomings by using close-range photogrammetric imaging techniques to build a 3D surface model for a continuous observation of subtle changes in skin lesions and other features.

Author Biographies

Ahmet B. Orun, De Montfort University

School of Computer Sciences & Informatics

Faculty of Technology

Leicester, LE1 9BH

Eric Goodyer, De Montfort University

School of Computer Sciences & Informatics
Faculty of Technology
Leicester, LE1 9BH

Geoff Smith, De Montfort University

School of Pharmacy

Health and Life Sciences Faculty

Leicester, LE1 9BH

References

Alvarez, O., Windelken, M., Markowitz, L.,Comfort, C., and L. Waltrose, L., 2006. Wounds measured from digital photographs using photo-digital planimetry software: validation and rater reliability. 19th Annual Symposium on Advanced Wound Care. USA, Texas 2006.

Choi, J.W., Lee, J.Y. Oh,.T. ,Kwon S.M.,Yang, S.J. and Koh, K.S.,2013. Frontal soft tissue analysis using a 3D camera following two-jaw rotational orthognathic surgery in skeletal class III patients. Journal of Cranio-Maxillo-Facial Surgery. 1-7.

Claridge, E. and Orun, A.B., 2002. Modeling of edge profiles in pigmented skin lesions", (MIUA) Medical Image Understanding and Analysis, University of Portsmouth, July 2002.

Claridge, E. and Orun, A.B., 2003. Characterizing pattern asymmetry in pigmented skin lesions. (MIUA) Medical Image Understanding and Analysis, Sheffield, July 2003.

Garding, J. 1993. Direct estimation of shape from texture. IEEE Trans. Pattern Analysis and Machine Intelligence 15, 11, November.

Goellner, M., Schmitt, J., Karl, M., Wichmann, M. and Holst, S.,2010. Photogrammetric measurement of initial tooth displacement under tensile force, Medical Engineering & Physics. 32 (8), 883–88.

Gorpas, D., Politopoulos, K. and Yova, D., 2007. A binocular machine vision system for three-dimensional surface measurement of small objects, Computerized Medical Imaging and Graphics 31 (2007), 625–37.

Granshaw,S.I.,1980.Bundle adjustment methods in engineering photogrammetry. Photogrammetric Record.10(56),181–207.

Hiraoglu M. Characterisation and calibration of cameras for machine vision metrology. PhD Thesis, Rensselaer Polytechnic Institute. Dept. of Electrical, Computer and Systems Eng. 1992: May.

Jaspers, S., Hopermann, H., Sauermann, G., Hoppe, U., Lunderstadt, R., Ennen, J., 1999. Rapid in vivo measurement of the topography of human skin by active image triangulation using a digital micro mirror device. Skin Research and Technology. 5, 195–207.

Khalil,A.M.,2011.Twodimensionaldisplacement measurement using static close range photogrammetry and a single fixed camera. Alexandria Engineering Journal.50, 219–27.

Luhmann, T., 2009. Precision potential of photogrammetric 6DOF pose estimation with a single camera. ISPRS Journal of Photogrammetry and Remote Sensing. 64 (2009), 275-84.

Moffitt, F.H., Mikhail, E.M., 1980. Photogrammetry. Harper & Row Publisher Inc. New York, USA.

Orun, A.B., 1990. SPOT satellite imagery for topographic mapping. MPhil Thesis, Oxford Brookes University, Oxford UK, August 1990.

Orun, A.B. and Natarajan, K., 1994. A modified bundle adjustment software for SPOT imagery and photography: A tradeoff. PE&RS Journal, December 1994.

Orun, A.B., 1996. Real-time photogrammetric vision system design and development. PhD Thesis. Yildiz Technical University, Faculty of Engineering, Istanbul, October 1996.

Orun, A.B and Alkis., 2003. Material identification by surface reflection analysis in combination with bundle adjustment technique. Pattern Recognition Letters. 24 (2003), 1589-98.

Tominaga,S.1991.Surface identification using the dichromatic reflection model. IEEE Trans. Pattern Analysis & Machine Intelligence. 13 (7).

Witkin,A.P.,1981.Recovering surface shape and orientation from texture. Artificial Intelligence.17,1.

Woodham, R. J., 1980. Photometric method for determining surface orientation from multiple images. Optical Engineering. 19, 1, January.

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Published

2018-04-12

How to Cite

Orun, A. B., Goodyer, E., & Smith, G. (2018). 3D NON-INVASIVE INSPECTION OF THE SKIN LESIONS BY CLOSE-RANGE AND LOW-COST PHOTOGRAMMETRIC TECHNIQUES. Image Analysis and Stereology, 37(1), 63–70. https://doi.org/10.5566/ias.1730

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Section

Original Research Paper