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Related Experiment Video

Updated: Jul 7, 2026

Morphometric Analyses of Retinal Sections

Morphometric Analyses of Retinal Sections

Published on: February 19, 2012

Delineating buildings by grouping lines with MRFs.

S Krishnamachari¹, R Chellappa

¹COMSAT Lab., Clarksburg, MD.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|January 1, 1996

Summary

This study introduces a novel Markov random field (MRF) approach for object delineation in aerial images. The method effectively groups extracted straight lines to accurately outline buildings.

Area of Science:

Computer Vision
Artificial Intelligence
Remote Sensing

Background:

Markov random field (MRF) models are traditionally applied to low-level image analysis tasks.
Object delineation, particularly for structures in aerial imagery, remains a challenging problem in image processing.

Purpose of the Study:

To present an MRF-based scheme for accurate object delineation.
To leverage an edge-based approach for identifying and grouping linear features.

Main Methods:

Extracting straight lines from an image's edge map.
Employing a Markov random field (MRF) model to group the extracted lines.
Applying the scheme to delineate buildings in aerial images.

Main Results:

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Morphometric Analyses of Retinal Sections

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Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

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The proposed edge-based MRF scheme successfully delineates buildings in aerial images.
Grouping of straight lines effectively outlines object boundaries.

Conclusions:

MRF models can be effectively extended for higher-level image analysis tasks like object delineation.
The edge-based line grouping method provides a robust approach for building extraction from aerial imagery.