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

R. W. Fries; J. W. Modestino

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

R. W. Fries, J. W. Modestino

Electrical & Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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 language	English
Title of host publication	Unknown Host Publication Title
Place of Publication	New York, NY
Publisher	IEEE (77CH1208-9C)
Pages	225-230
Number of pages	6
State	Published - Jan 1 1977
Event	IEEE Comput Soc Conf on Pattern Recognition and Image Process, Proc - Troy, NY, USA Duration: Jun 6 1977 → Jun 8 1977

Other

Other	IEEE Comput Soc Conf on Pattern Recognition and Image Process, Proc
City	Troy, NY, USA
Period	6/6/77 → 6/8/77

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "EMPIRICAL STUDY OF SELECTED APPROACHES TO THE DETECTION OF EDGES IN NOISY DIGITIZED IMAGES.",

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.",

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year = "1977",

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N2 - 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.

AB - 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.

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M3 - Chapter

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BT - Unknown Host Publication Title

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Y2 - 6 June 1977 through 8 June 1977

ER -

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

Abstract

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ASJC Scopus subject areas

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