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)
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Cite this
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).