Edge Relaxation in Images using Directional Hierarchical Image Decomposition

This paper presents a new hierarchical method of the edge relaxation by using an edge confidence measure. Proposed method is an adaptive and based on directional hierarchical image decomposition and an edge connecting algorithm. It is shown that such combination has low sensitivity to noise, while i...

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Main Authors: Heric, D., Potocnik, B.
Format: Conference Proceeding
Language:English
Subjects:
Computer science
Image analysis
Image decomposition
Image edge detection
Image processing
Image segmentation
Joining processes
Labeling
Relaxation methods
System software
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Potocnik, B.
description This paper presents a new hierarchical method of the edge relaxation by using an edge confidence measure. Proposed method is an adaptive and based on directional hierarchical image decomposition and an edge connecting algorithm. It is shown that such combination has low sensitivity to noise, while it is highly robust to outliers, and provide a quality edge connection mechanism
doi_str_mv 10.1109/NORSIG.2006.275225
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subjects Computer science
Image analysis
Image decomposition
Image edge detection
Image processing
Image segmentation
Joining processes
Labeling
Relaxation methods
System software
title Edge Relaxation in Images using Directional Hierarchical Image Decomposition
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