Proceedings ArticleDOI
Multi structuring element top-hat transform to detect linear features
Xiangzhi Bai,Fugen Zhou +1 more
- pp 877-880
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TLDR
The analysis and experimental results show that, because of the efficient performance of multi structuring element top-hat transform, the linear features of different real images in different applications can be efficiently detected.Abstract:
Multi structuring element top-hat transform is proposed in this paper to improve the performance of top-hat transform. The desired image feature is treated as a set. And, the set is divided into different subsets. Then, multi structuring elements corresponding to different subsets are constructed. After that, top-hat transform is performed by using the constructed structuring elements, and the results are combined and processed to reconstruct the desired image feature. To verify the efficiency of multi structuring element top-hat transform, the application of linear feature detection is discussed. The analysis and experimental results of multi structuring element top-hat transform show that, because of the efficient performance of multi structuring element top-hat transform, the linear features of different real images in different applications can be efficiently detected. Moreover, multi structuring element top-hat transform can be widely used in different applications.read more
Citations
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Journal ArticleDOI
Adaptive Road Crack Detection System by Pavement Classification
M. Gavilan,David Balcones,Óscar Marcos,David Fernández Llorca,Miguel Angel Sotelo,I. Parra,Manuel Ocaña,Pedro Aliseda,Pedro Yarza,Alejandro Amírola +9 more
TL;DR: Results show that the introduction of such module reduces the impact of false positives due to non-crack features up to a factor of 2.5, and the observed performance of the crack detection system is significantly boosted by adapting the parameters to the type of pavement.
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A hybrid method for blood vessel segmentation in images
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References
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Book
Morphological Image Analysis: Principles and Applications
TL;DR: This self-contained volume will be valuable to all engineers, scientists, and practitioners interested in the analysis and processing of digital images.
Journal ArticleDOI
The design of Top-Hat morphological filter and application to infrared target detection
Ming Zeng,Jianxun Li,Zhang Peng +2 more
TL;DR: Two novel methods which can develop optimizing Top-Hat morphological filtering parameters are presented for spot target detection, one based on neural network and the other based on genetic algorithm.
Journal ArticleDOI
A robust approach for automatic detection and segmentation of cracks in underground pipeline images
Shivprakash Iyer,Sunil K. Sinha +1 more
TL;DR: The proposed method is based on mathematical morphology and curvature evaluation that detects crack-like patterns in a noisy environment and statistically evaluates its accuracy and robustness with respect to varying pipe background color, crack geometries and background noise.
Journal ArticleDOI
A pseudo top-hat mathematical morphological approach to edge detection in dark regions
TL;DR: A novel mathematical morphological edge detection algorithm, based on pseudo top- hat transformation which is derived from top-hat transformation, is proposed to preserve these edge details as well as prominent ones and results show that the proposed algorithm is efficient for edge details extraction in place of shading while preserving distinguish features.