EMPIRICAL STUDY OF SELECTED APPROACHES TO THE DETECTION OF EDGES IN NOISY DIGITIZED IMAGES.

R. W. Fries, J. W. Modestino

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

This paper considers both the Hueckel operator and a recently introduced class of edge detectors implemented as two-dimensional infinite impulse response (IIR) or recursive digital filters. The latter were originally developed on the basis of least mean-square Wiener spatial filtering concepts for an assumed stochastic model of edge structure in typical imagery data. These two schemes are compared with respect to performance, computational complexity and suitability for specific applications. Problems in making these comparisons are discussed. The implementations of both operators used for this comparison are described.

Original languageEnglish
Title of host publicationUnknown Host Publication Title
Place of PublicationNew York, NY
PublisherIEEE (77CH1208-9C)
Pages225-230
Number of pages6
StatePublished - Jan 1 1977
EventIEEE Comput Soc Conf on Pattern Recognition and Image Process, Proc - Troy, NY, USA
Duration: Jun 6 1977Jun 8 1977

Other

OtherIEEE Comput Soc Conf on Pattern Recognition and Image Process, Proc
CityTroy, NY, USA
Period6/6/776/8/77

ASJC Scopus subject areas

  • Engineering(all)

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    Fries, R. W., & Modestino, J. W. (1977). EMPIRICAL STUDY OF SELECTED APPROACHES TO THE DETECTION OF EDGES IN NOISY DIGITIZED IMAGES. In Unknown Host Publication Title (pp. 225-230). IEEE (77CH1208-9C).