Threshold Segmentation and Length Measurement Algorithms for Irregular Curves in Complex Backgrounds
It is an urgent problem to know how to quickly and accurately measure the length of irregular curves in complex background images. To solve the problem, we first proposed a quasi-bimodal threshold segmentation (QBTS) algorithm, which transforms the multimodal histogram into a quasi-bimodal histogram...
| Main Authors: | , , , , |
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/15/5761 |
| _version_ | 1797432636858171392 |
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| author | Xusheng Ruan Honggui Deng Qiguo Xu Yang Liu Jun He |
| author_facet | Xusheng Ruan Honggui Deng Qiguo Xu Yang Liu Jun He |
| author_sort | Xusheng Ruan |
| collection | DOAJ |
| description | It is an urgent problem to know how to quickly and accurately measure the length of irregular curves in complex background images. To solve the problem, we first proposed a quasi-bimodal threshold segmentation (QBTS) algorithm, which transforms the multimodal histogram into a quasi-bimodal histogram to achieve a faster and more accurate segmentation of the target curve. Then, we proposed a single-pixel skeleton length measurement (SPSLM) algorithm based on the 8-neighborhood model, which used the 8-neighborhood feature to measure the length for the first time, and achieved a more accurate measurement of the curve length. Finally, the two algorithms were tested and analyzed in terms of accuracy and speed on the two original datasets of this paper. The experimental results show that the algorithms proposed in this paper can quickly and accurately segment the target curve from the neon design rendering with complex background interference and measure its length. |
| first_indexed | 2024-03-09T10:05:31Z |
| format | Article |
| id | doaj.art-7a3a74d676524356b91d58d22c08ee92 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T10:05:31Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-7a3a74d676524356b91d58d22c08ee922023-12-01T23:10:15ZengMDPI AGSensors1424-82202022-08-012215576110.3390/s22155761Threshold Segmentation and Length Measurement Algorithms for Irregular Curves in Complex BackgroundsXusheng Ruan0Honggui Deng1Qiguo Xu2Yang Liu3Jun He4School of Physics and Electronics, Central South University, Lushan South Road, Changsha 410083, ChinaSchool of Physics and Electronics, Central South University, Lushan South Road, Changsha 410083, ChinaSchool of Physics and Electronics, Central South University, Lushan South Road, Changsha 410083, ChinaSchool of Physics and Electronics, Central South University, Lushan South Road, Changsha 410083, ChinaSchool of Physics and Electronics, Central South University, Lushan South Road, Changsha 410083, ChinaIt is an urgent problem to know how to quickly and accurately measure the length of irregular curves in complex background images. To solve the problem, we first proposed a quasi-bimodal threshold segmentation (QBTS) algorithm, which transforms the multimodal histogram into a quasi-bimodal histogram to achieve a faster and more accurate segmentation of the target curve. Then, we proposed a single-pixel skeleton length measurement (SPSLM) algorithm based on the 8-neighborhood model, which used the 8-neighborhood feature to measure the length for the first time, and achieved a more accurate measurement of the curve length. Finally, the two algorithms were tested and analyzed in terms of accuracy and speed on the two original datasets of this paper. The experimental results show that the algorithms proposed in this paper can quickly and accurately segment the target curve from the neon design rendering with complex background interference and measure its length.https://www.mdpi.com/1424-8220/22/15/5761irregular curvesquasi-bimodal threshold segmentationsingle-pixel skeletonlength measurement |
| spellingShingle | Xusheng Ruan Honggui Deng Qiguo Xu Yang Liu Jun He Threshold Segmentation and Length Measurement Algorithms for Irregular Curves in Complex Backgrounds Sensors irregular curves quasi-bimodal threshold segmentation single-pixel skeleton length measurement |
| title | Threshold Segmentation and Length Measurement Algorithms for Irregular Curves in Complex Backgrounds |
| title_full | Threshold Segmentation and Length Measurement Algorithms for Irregular Curves in Complex Backgrounds |
| title_fullStr | Threshold Segmentation and Length Measurement Algorithms for Irregular Curves in Complex Backgrounds |
| title_full_unstemmed | Threshold Segmentation and Length Measurement Algorithms for Irregular Curves in Complex Backgrounds |
| title_short | Threshold Segmentation and Length Measurement Algorithms for Irregular Curves in Complex Backgrounds |
| title_sort | threshold segmentation and length measurement algorithms for irregular curves in complex backgrounds |
| topic | irregular curves quasi-bimodal threshold segmentation single-pixel skeleton length measurement |
| url | https://www.mdpi.com/1424-8220/22/15/5761 |
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