Semantic air segmentation in core with noise reduction and post-processing
This paper presents results on semantic air segmentation for digital concrete cores. Brightness normalization and noise reduction were used as image preprocessing. To increase the efficiency of segmentation, a method is proposed for segmentation in three directions, followed by summing the resulting...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tomsk Polytechnic University
2024-06-01
|
| Series: | Известия Томского политехнического университета: Промышленная кибернетика |
| Subjects: | |
| Online Access: | https://indcyb.ru/journal/article/view/53/48 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850121635233792000 |
|---|---|
| author | Mikhail I. Volkov Polina S. Kargina |
| author_facet | Mikhail I. Volkov Polina S. Kargina |
| author_sort | Mikhail I. Volkov |
| collection | DOAJ |
| description | This paper presents results on semantic air segmentation for digital concrete cores. Brightness normalization and noise reduction were used as image preprocessing. To increase the efficiency of segmentation, a method is proposed for segmentation in three directions, followed by summing the resulting masks and using a median filter. The resulting image masks have a three-dimensional structure and can be used to generate a training dataset for 3D convolutional neural network architectures. The method proposed can be used as well to enlarge images in the training set if data labeling takes a long time. |
| format | Article |
| id | doaj-art-416d7ece007b48828c85080f021cb288 |
| institution | OA Journals |
| issn | 2949-5407 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Tomsk Polytechnic University |
| record_format | Article |
| series | Известия Томского политехнического университета: Промышленная кибернетика |
| spelling | doaj-art-416d7ece007b48828c85080f021cb2882025-08-20T02:35:01ZengTomsk Polytechnic UniversityИзвестия Томского политехнического университета: Промышленная кибернетика2949-54072024-06-0122394410.18799/29495407/2024/2/53Semantic air segmentation in core with noise reduction and post-processingMikhail I. Volkov0Polina S. Kargina1National Research Tomsk Polytechnic University, Tomsk, Russian FederationNational Research Tomsk Polytechnic University, Tomsk, Russian FederationThis paper presents results on semantic air segmentation for digital concrete cores. Brightness normalization and noise reduction were used as image preprocessing. To increase the efficiency of segmentation, a method is proposed for segmentation in three directions, followed by summing the resulting masks and using a median filter. The resulting image masks have a three-dimensional structure and can be used to generate a training dataset for 3D convolutional neural network architectures. The method proposed can be used as well to enlarge images in the training set if data labeling takes a long time.https://indcyb.ru/journal/article/view/53/48semantic segmentation of air poresnoise reductionbm3dpost-processingmedian filter |
| spellingShingle | Mikhail I. Volkov Polina S. Kargina Semantic air segmentation in core with noise reduction and post-processing Известия Томского политехнического университета: Промышленная кибернетика semantic segmentation of air pores noise reduction bm3d post-processing median filter |
| title | Semantic air segmentation in core with noise reduction and post-processing |
| title_full | Semantic air segmentation in core with noise reduction and post-processing |
| title_fullStr | Semantic air segmentation in core with noise reduction and post-processing |
| title_full_unstemmed | Semantic air segmentation in core with noise reduction and post-processing |
| title_short | Semantic air segmentation in core with noise reduction and post-processing |
| title_sort | semantic air segmentation in core with noise reduction and post processing |
| topic | semantic segmentation of air pores noise reduction bm3d post-processing median filter |
| url | https://indcyb.ru/journal/article/view/53/48 |
| work_keys_str_mv | AT mikhailivolkov semanticairsegmentationincorewithnoisereductionandpostprocessing AT polinaskargina semanticairsegmentationincorewithnoisereductionandpostprocessing |