B-COSFIRE
所属分类:图形图像处理
开发工具:matlab
文件大小:13325KB
下载次数:10
上传日期:2021-01-15 14:13:24
上 传 者:
d1004742096
说明: 基于matlab的裂缝检测算法,来自CSDN。可以有效识别墙体裂缝并检测参数
(Crack detection algorithm based on MATLAB, from CSDN. It can effectively identify wall cracks and detect parameters)
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# MATLAB implementation of B-COSFIRE filters
B-COSFIRE filters are non-linear trainable filters for detection of elongated patterns in images.
This is the code of the trainable non-linear B-COSFIRE filters for delineation of elongated patterns
in images.
The B-COSFIRE filters are proposed in the paper:
[Azzopardi, G., Strisciuglio, N., Vento, M., Petkov, N.: Trainable COSFIRE filters for vessel delineation with application to retinal images. Medical Image Analysis 19(1), 46 - 57, 2015](http://www.cs.rug.nl/~george/articles/MEDIA2015.pdf)
## Applications
For applications of B-COSFIRE filters to different kinds of images and problems, please refer to the following codes.
### ExampleBloodVesselSegmentation.m -
The example code for the configuration of a line detector and a line-ending detector and their
applications to the segmentation of blood vessels in retinal images.
The final response is the summation of the responses of the two filters.
### PavementCrackDelineation.m (CAIP 2017)
Application of the B-COSFIRE filters in an image processing pipeline for the detection of cracks in pavement images presented at CAIP17.
The code provides the benchmark results reported in the paper
_Strisciuglio, N. Azzopardi, G. Petkov, N._ "Detection of Curved Lines with B-COSFIRE Filters: A Case Study on Crack Delineation", IWOBI 2017.
If you use this code, please cite the paper:
@Inbook{Strisciuglio2017,
author="Strisciuglio, Nicola and Azzopardi, George and Petkov, Nicolai",
title="Detection of Curved Lines with B-COSFIRE Filters: A Case Study on Crack Delineation",
bookTitle="Computer Analysis of Images and Patterns: 17th International Conference, CAIP 2017, Ystad, Sweden, August 22-24, 2017, Proceedings, Part I",
year="2017",
pages="108--120",
isbn="978-3-319-***689-3",
doi="10.1007/978-3-319-***689-3_9",
}
If you use the data, please cite:
_Zou, Q., Li, Q., Zhang, F., Wang, Z.X.Q., Wang, Q.: Path voting based pavement crack detection from laser range images. In: IEEE ICDSP, pp. 432?436 (2016)_
The images used in this example are available from the
[website of Dr. Zou](https://sites.google.com/site/qinzoucn/).
### INRIAImages.m (IWOBI 2017)
Application of the B-COSFIRE filters for detection of elongated structures in images.
This code provides the benchmark results on the images of the INRIA data
set used in the paper
_Strisciuglio, N. Petkov, N._ "Delineation of line patterns in images using B-COSFIRE filters", IWOBI 2017.
If you use this code, please cite the paper:
@INPROCEEDINGS{7***5538,
author={N. Strisciuglio and N. Petkov},
booktitle={2017 International Conference and Workshop on Bioinspired Intelligence (IWOBI)},
title={Delineation of line patterns in images using B-COSFIRE filters},
year={2017},
pages={1-6},
doi={10.1109/IWOBI.2017.7***5538},
month={July},}
The images used in this example are available at [this website](http://www-sop.inria.fr/members/Florent.Lafarge/benchmark/line-network_extraction/line-networks.html).
## Reference publications
If you use the code of B-COSFIRE filters for your application, please cite the following articles.
__Original paper:__
@article{BCOSFIRE-MedIA2015,
title = "Trainable {COSFIRE} filters for vessel delineation with application to retinal images ",
journal = "Medical Image Analysis ",
volume = "19",
number = "1",
pages = "46 - 57",
year = "2015",
note = "",
issn = "1361-8415",
doi = "http://dx.doi.org/10.1016/j.media.2014.08.002",
author = "George Azzopardi and Nicola Strisciuglio and Mario Vento and Nicolai Petkov",
}
__Supervised learning of B-COSFIRE filters:__
@article{BCOSFIRE-selection2016,
author={Strisciuglio, Nicola and Azzopardi, George and Vento, Mario and Petkov, Nicolai},
title={Supervised vessel delineation in retinal fundus images with the automatic selection of {B-COSFIRE} filters},
journal={Machine Vision and Applications},
year={2016},
pages={1?13},
issn={1432-1769},
}
## Changelog
__20 Aug 2017__
CrackDetectionCluster.m - Experimental code (and data) to replicate results in the CAIP17 paper.
__3 Jul 2017__
applyCOSFIRE_inhib.m:132/137 - Approximatation of the shifting amount corrected
The results published in the paper "_Strisciuglio, N. Petkov, N._ "Delineation of line patterns in images using B-COSFIRE filters", IWOBI 2017." are slightly different due to this bug fixing.
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