Abstract
This paper gives an analysis of a variety of morphological vision procedures. The analysis is designed to illustrate the power and flexibility of mathematical morphology for the extraction of shape information from gray tone and binary images.
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References
Archibald, C. Identify leads coming from a smd component. Tech. rep., Machine Vision International, Ann Arbor, MI, July 1985. Internal memo.
Ballestrasse, C., Katz. P., and Haralick, R. Detecting targets. Tech. rep., Applied Physics Lab, University of Washington, Seattle, WA, May 1989. Technical Report.
Gillies, A. Machine learning procedures for generating image domain feature detectors. Ph.D. dissertation, Department of Computer and Communication Science, University of Michigan, Ann Arbor, MI, 1985.
Haralick, R. Sub-pixel precision hot spot detection and recognition: A morphologic/facet approach. Tech. rep., Department of EE, University of Washington, Seattle, WA, May 1988.
Haralick, R., Ramesh, Y., Hausmann, E., and Allen, I. Computerized detection of cemento-enamel junctions in digitized dental radiographs. Tech. rep., Department of EE, University of Washington, Seattle, WA, May 1989.
Haralick, R., Sternberg, S., and Zhuang, X. Image analysis using mathematical morphology. IEEE Trans. on Pattern Analysis and Machine Intelligence PAMI-9, 4 (1987), 532–550.
Hasegawa, J., Kubota, H., and Toriwaki, J. Automated construction of image processing procedures by sample-figure presentation. In Proc. 8th ICPR (Oct. 1986), pp. 586–588.
Heijnans, H., and Ronse, C. The algebraic basis of mathematical morphology, part 1: Dilations and erosions. Tech. rep., Center for mathematics and computer science, Dept. of Applied Mathematics, PO. Box 4079, 1009 AB, Amsterdam, The Netherlands, June 1988. Report AM-R8807.
Lee, J. Multiple sensor fusion based on morphological processing. Tech. rep., Boeing electronics high tech center, P.O. Box 24969, MS 7J-24, Seattle, WA, 1988. Internal memo.
Maragos, P. A unified theory of translation-invarient systems with applications to morphological analysis and coding of images. Ph.D. dissertation, School of Electrical Engineering, Georgia Institute of Technology, July 1985.
Matheron, G. Random sets and integral geometry. Wiley, New York, 1975.
Matsuyama, T. Expert systems for image processing: Knowledge-based composition of image analysis processes. Tech. rep., Dept. of Information Engineering, Tohoku University, Sendai, Miyagi 980, Japan, 1988. submitted to CVGIP.
Meyer, F. Iterative image transformation for an automatic screening of cervical smears. J. of Histochemistry and Cytochemistry 27, 1 (1978), 128–135.
Sakaue, K., and Tamura, H. Automatic generation of image processing programs by knowledge-based verification. IEEE CH2145 (1985), 189–192.
Serra, J. Image analysis and mathematical morphology. Academic Press Inc., 1982.
Serra, J. From mathematical morphology to artificial intelligence. In Proc. 8th International Conference on Pattern Recognition (Paris, France, Oct 1986), pp. 1336–1343.
Serra, J., Ed. Image analysis and mathematical morphology, Volume 2: Theoretical advances. Academic Press Inc., 1988.
Stern Berg, S. Cellular computers and biomedical image processing. In Biomedical images and computers, J. Sklansky and J. Bisconte, Eds., vol. 17. Springer-Verlag, Berlin, 1982, pp. 294–319. Lecture notes in medical informations.
Stern Berg, S. An overview of image algebra and related architectures. In Integrated technology for parallel image processing. Academic Press Inc., 1985, pp. 79–100.
Vogt, R. Automatic generation of morphological set recognition algorithms. Ph.D dissertation, Electrical Engineering and Computer Science Department, University of Michigan, 1988.
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Joo, H., Haralick, R.M. (1989). Application of Mathematical Morphology to Machine Vision. In: Burkhardt, H., Höhne, K.H., Neumann, B. (eds) Mustererkennung 1989. Informatik-Fachberichte, vol 219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-75102-8_1
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DOI: https://doi.org/10.1007/978-3-642-75102-8_1
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