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1

Bahl, Rajendar. Computer model of a high-resolution imaging sonar. Monterey, Calif: Naval Postgraduate School, 1990.

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2

Myszkowski, K. Efficient and predictive realistic image synthesis. Warszawa: Oficyna Wydawn. Politechniki Warszawskiej, 2001.

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3

Commission on Preservation and Access., ed. Computer images for research, teaching, and publication in art history and related disciplines. Washington, DC: Commission on Preservation & Access, 1996.

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4

Pu, Shi. Knowledge based building facade reconstruction from laser point clouds and images. Delft: Netherlands Geodetic Commission, 2010.

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5

Shah, Tahir Rabbani. Automatic reconstruction of industrial installations using point clouds and images. Delft: Nederlandse Commissie voor Geodesie, 2006.

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6

Baranoski, Gladimir Valerio Guimarães. Light interaction with plants: A computer graphics perspective. Chichester: Horwood Pub., 2004.

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7

1967-, Bekaert Philippe, and Bala Kavita 1971-, eds. Advanced global illumination. Natick, MA: AK Peters, 2003.

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8

Reality, International Workshop on Medical Imaging and Augmented. Internatinoal Workshop on Medical Imaging and Augumented Reality: Proceedings : 10-12 June, 2001, Shatin, N.T., Hong Kong. Los Alamitos, California: IEEE Computer Society, 2001.

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9

Kerr, Andrew Thomas. Computer simulation studies of ultrasound doppler color flow images. 1992.

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10

William, Krakow, O'Keefe Michael, ASM/MSD Computer Simulation Committee., and Minerals, Metals and Materials Society. Meeting, eds. Computer simulation of electron microscope diffraction and images: Proceedings of a topical symposium on computer simulation of electron microscope diffraction and images. Warrendale, Pa: TMS, 1989.

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11

1937-, Laurent Pierre Jean, Le Méhauté Alain, Schumaker Larry L. 1939-, and International Conference on Curves and Surfaces (2nd : 1993 : Chamonix-Mont-Blanc, France), eds. Wavelets, images, and surface fitting. Wellesley, Mass: Peters, 1994.

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12

Recognition of simple visual images using a sparse distributed memory: Some implementations and experiments. [Moffett Field, Calif.?]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1990.

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13

Milton, Triplett, Johnson R. Barry, and Society of Photo-optical Instrumentation Engineers., eds. Infrared scene simulation: Systems, requirements, calibration, devices, and modeling : 4-6 April 1988, Orlando, Florida. Bellingham, Wash., USA: SPIE, 1988.

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14

Images and Artefacts of the Ancient World. British Academy, 2005.

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15

K, Bowman Alan, Brady Michael 1945-, British Academy, and Royal Society (Great Britain), eds. Images and artefacts of the ancient world. Oxford: Oxford University Press, 2005.

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16

United States. National Aeronautics and Space Administration., ed. Computer simulation of the effects of a distributed array antenna on synthetic aperture radar images: Final report. [Washington, DC]: National Aeronautics and Space Administration, 1985.

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17

Building and Fire Research Laboratory (U.S.), ed. Finite element and finite difference programs for computing the linear electric and elastic properties of digital images of random materials. Gaithersburg, Md: Building and Fire Research Laboratory, National Institute of Standards and Technology, 1998.

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18

Baranoski, Gladimir V. G., and Jon G. Rokne. Light Interaction With Plants: A computer Graphics Perspective. Horwood Publishing Limited, 2002.

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19

Dutre, Philip, Philippe Bekaert, and Kavita Bala. Advanced Global Illumination. AK Peters, Ltd., 2003.

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20

International Workshop on Medical Imaging and Augmented Reality: 10-12 June 2001 : Proceedings. Institute of Electrical & Electronics Enginee, 2001.

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21

Talbot, Hugues, and Richard Beare. Mathematical Morphology. CSIRO Publishing, 2002. http://dx.doi.org/10.1071/9780643107342.

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Mathematical morphology is a powerful methodology for processing and analysing the shape and form of objects in images. The advances in this area of science allow for application in the digital recognition and modeling of faces and other objects by computers. Mathematical Morphology is comprehensive work that provides a broad sampling of the most recent theoretical and practical developments in applications to image processing and analysis. Subject areas covered include: binary morphology, regularised region growing, morphological scale-space techniques, levelings, reconstruction, modeling and simulation, and applications as diverse as medicine, forestry and geology. This fascinating research will be of great interest to engineers, computer scientists, mathematicians and statisticians whose research work is focussed on the theoretical and practical aspects of non-linear image processing and analysis. The content stems from the proceedings of the VIth International Symposium on Mathematical Morphology, held April 3–5, 2002 in Sydney, Australia.
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