Subpixel edge estimation using geometrical edge models with noise miniaturization

D. C.D. Hung; O. R. Mitchell

doi:10.1109/IAI.1994.336673

Subpixel edge estimation using geometrical edge models with noise miniaturization

D. C.D. Hung, O. R. Mitchell

Computer Science

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

2 Scopus citations

Abstract

The significant disadvantage for traditional contour representation is as the resolution is reduced the effort of undersampling is proportional enlarged. The goal of this study is to improve edge detection results, especially for those corner points in low resolution. This study describes a method, which is based on 4-connected pixel-wise linearization, for finding contours from low resolution video images. This allows a more accurate inspection and identification of objects from image data. In practice, geometrical models are used to manipulate this linearization. A method is employed for examining the corner points as well.

Original language	English (US)
Title of host publication	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	112-117
Number of pages	6
ISBN (Electronic)	0818662506
DOIs	https://doi.org/10.1109/IAI.1994.336673
State	Published - 1995
Event	1995 IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994 - Dallas, United States Duration: Apr 21 1994 → Apr 24 1994

Publication series

Name	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Conference

Conference	1995 IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994
Country/Territory	United States
City	Dallas
Period	4/21/94 → 4/24/94

All Science Journal Classification (ASJC) codes

Software
Computer Vision and Pattern Recognition
Computer Science Applications

Access to Document

10.1109/IAI.1994.336673

Cite this

Hung, D. C. D., & Mitchell, O. R. (1995). Subpixel edge estimation using geometrical edge models with noise miniaturization. In Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994 (pp. 112-117). Article 336673 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAI.1994.336673

@inproceedings{a5a04124c7164b5c894547ce76101616,

title = "Subpixel edge estimation using geometrical edge models with noise miniaturization",

abstract = "The significant disadvantage for traditional contour representation is as the resolution is reduced the effort of undersampling is proportional enlarged. The goal of this study is to improve edge detection results, especially for those corner points in low resolution. This study describes a method, which is based on 4-connected pixel-wise linearization, for finding contours from low resolution video images. This allows a more accurate inspection and identification of objects from image data. In practice, geometrical models are used to manipulate this linearization. A method is employed for examining the corner points as well.",

author = "Hung, {D. C.D.} and Mitchell, {O. R.}",

note = "Publisher Copyright: {\textcopyright} 1994 IEEE.; 1995 IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994 ; Conference date: 21-04-1994 Through 24-04-1994",

year = "1995",

doi = "10.1109/IAI.1994.336673",

language = "English (US)",

series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "112--117",

booktitle = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994",

address = "United States",

}

Hung, DCD & Mitchell, OR 1995, Subpixel edge estimation using geometrical edge models with noise miniaturization. in Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994., 336673, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, Institute of Electrical and Electronics Engineers Inc., pp. 112-117, 1995 IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994, Dallas, United States, 4/21/94. https://doi.org/10.1109/IAI.1994.336673

Subpixel edge estimation using geometrical edge models with noise miniaturization. / Hung, D. C.D.; Mitchell, O. R.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994. Institute of Electrical and Electronics Engineers Inc., 1995. p. 112-117 336673 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation).

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

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AU - Mitchell, O. R.

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N2 - The significant disadvantage for traditional contour representation is as the resolution is reduced the effort of undersampling is proportional enlarged. The goal of this study is to improve edge detection results, especially for those corner points in low resolution. This study describes a method, which is based on 4-connected pixel-wise linearization, for finding contours from low resolution video images. This allows a more accurate inspection and identification of objects from image data. In practice, geometrical models are used to manipulate this linearization. A method is employed for examining the corner points as well.

AB - The significant disadvantage for traditional contour representation is as the resolution is reduced the effort of undersampling is proportional enlarged. The goal of this study is to improve edge detection results, especially for those corner points in low resolution. This study describes a method, which is based on 4-connected pixel-wise linearization, for finding contours from low resolution video images. This allows a more accurate inspection and identification of objects from image data. In practice, geometrical models are used to manipulate this linearization. A method is employed for examining the corner points as well.

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BT - Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 21 April 1994 through 24 April 1994

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Hung DCD, Mitchell OR. Subpixel edge estimation using geometrical edge models with noise miniaturization. In Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, IAI 1994. Institute of Electrical and Electronics Engineers Inc. 1995. p. 112-117. 336673. (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation). doi: 10.1109/IAI.1994.336673

Subpixel edge estimation using geometrical edge models with noise miniaturization

Abstract

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Conference

All Science Journal Classification (ASJC) codes

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