Statistical Analysis of Morphological Openings

Aldo Morales; Raj Acharya

doi:10.1109/78.277807

Statistical Analysis of Morphological Openings

Aldo Morales, Raj Acharya

School of Science, Engineering & Technology (Harrisburg)

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

Statistical analysis of morphological openings is carried out to study noise suppression and edge preserving properties of binary and gray scale structuring elements. Based on the fact that basis functions are a general representation of any morphological mapping that is translation invariant and increasing, we will show that a statistical analysis through this representation is feasible and more general than the threshold decomposition approach.

Original language	English (US)
Pages (from-to)	3052-3056
Number of pages	5
Journal	IEEE Transactions on Signal Processing
Volume	41
Issue number	10
DOIs	https://doi.org/10.1109/78.277807
State	Published - Oct 1993

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering

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10.1109/78.277807

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title = "Statistical Analysis of Morphological Openings",

abstract = "Statistical analysis of morphological openings is carried out to study noise suppression and edge preserving properties of binary and gray scale structuring elements. Based on the fact that basis functions are a general representation of any morphological mapping that is translation invariant and increasing, we will show that a statistical analysis through this representation is feasible and more general than the threshold decomposition approach.",

author = "Aldo Morales and Raj Acharya",

note = "Funding Information: Manuscript received December 24, 1990; revised February 3, 1992. This work was supported in part by the National Science Foundation under Grant BCS-9011229. A. Morales is with the College of Engineering, Pennsylvania State University, DuBois, PA 15801. R. Acharya is with the Department of Electrical and Computer Engineering, SUNY Buffalo, Amherst, NY 14260. IEEE Log Number 92 10943.",

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AU - Acharya, Raj

N1 - Funding Information: Manuscript received December 24, 1990; revised February 3, 1992. This work was supported in part by the National Science Foundation under Grant BCS-9011229. A. Morales is with the College of Engineering, Pennsylvania State University, DuBois, PA 15801. R. Acharya is with the Department of Electrical and Computer Engineering, SUNY Buffalo, Amherst, NY 14260. IEEE Log Number 92 10943.

PY - 1993/10

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N2 - Statistical analysis of morphological openings is carried out to study noise suppression and edge preserving properties of binary and gray scale structuring elements. Based on the fact that basis functions are a general representation of any morphological mapping that is translation invariant and increasing, we will show that a statistical analysis through this representation is feasible and more general than the threshold decomposition approach.

AB - Statistical analysis of morphological openings is carried out to study noise suppression and edge preserving properties of binary and gray scale structuring elements. Based on the fact that basis functions are a general representation of any morphological mapping that is translation invariant and increasing, we will show that a statistical analysis through this representation is feasible and more general than the threshold decomposition approach.

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Statistical Analysis of Morphological Openings

Abstract

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