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Title: | Detection of curved lines with B-COSFIRE filters : a case study on crack delineation |
Authors: | Strisciuglio, Nicola Azzopardi, George Petkov, Nicolai |
Keywords: | Computer vision Image processing Pattern recognition systems |
Issue Date: | 2017-08 |
Publisher: | Cornell University |
Citation: | Strisciuglio, N., Azzopardi, G., & Petkov, N. (2017). Detection of curved lines with B-COSFIRE filters: a case study on crack delineation. In CAIP : 17th International Conference on Computer Analysis of Images and Patterns, Sweden, 108-120. |
Abstract: | The detection of curvilinear structures is an important step for various computer vision applications, ranging from medical image analysis for segmentation of blood vessels, to remote sensing for the identification of roads and rivers, and to biometrics and robotics, among others. This is a nontrivial task especially for the detection of thin or incomplete curvilinear structures surrounded with noise. We propose a general purpose curvilinear structure detector that uses the brain-inspired trainable B-COSFIRE filters. It consists of four main steps, namely nonlinear filtering with B-COSFIRE, thinning with non-maximum suppression, hysteresis thresholding and morphological closing. We demonstrate its effectiveness on a data set of noisy images with cracked pavements, where we achieve state-of-the-art results (F-measure = 0.865). The proposed method can be employed in any computer vision methodology that requires the delineation of curvilinear and elongated structures. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/26332 |
Appears in Collections: | Scholarly Works - FacICTAI |
Files in This Item:
File | Description | Size | Format | |
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ConferencePaper_Detection_of_curved_lines_with_B-COSFIRE_filters_a case study on crack delineation.pdf | 1.03 MB | Adobe PDF | View/Open |
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