Image Segmentation Refinement Based on Region Expansion and Minor Contour Adjustments Article Swipe
Liyue Yan
,
Xing Zhang
,
Kafeng Wang
,
Siting Xiong
,
Di Zhang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1049/ipr2.70017
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1049/ipr2.70017
In high‐precision image segmentation tasks, even slight deviations in the segmentation results can bring about significant consequences, especially in certain application areas such as medical imaging and remote sensing image classification. The precision of segmentation has become the main factor limiting its development. Researchers typically refine image segmentation algorithms to enhance accuracy, but it is challenging for any improvement strategy to be effectively applied to images of different objects and scenes. To address this issue, we propose a two‐step refinement method for image segmentation, comprising region expansion and minor contour adjustments. First, we design an adaptive gradient thresholding module to provide gradient‐based constraints for the refinement process. Next, the region expansion module iteratively refines each segmented region based on colour differences and gradient thresholds. Finally, the minor contour adjustments module leverages local strong gradient features to refine the contour positions further. This method integrates region‐level and pixel‐level information to refine various image segmentation results. This method was applied to the BSDS500, Cells, and WHU Building datasets. The results demonstrate that the refined closed contours align more closely with the ground truth, with the most notable improvement observed at contour inflection points (corner points). Among the results, the Cells dataset showed the most significant improvement in segmentation accuracy, with the F‐score increasing from 87.51% to 89.73% and IoU from 86.83% to 88.40%.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/ipr2.70017
- OA Status
- gold
- Cited By
- 1
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408319397
All OpenAlex metadata
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https://openalex.org/W4408319397Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1049/ipr2.70017Digital Object Identifier
- Title
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Image Segmentation Refinement Based on Region Expansion and Minor Contour AdjustmentsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
-
Liyue Yan, Xing Zhang, Kafeng Wang, Siting Xiong, Di ZhangList of authors in order
- Landing page
-
https://doi.org/10.1049/ipr2.70017Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1049/ipr2.70017Direct OA link when available
- Concepts
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Minor (academic), Image segmentation, Artificial intelligence, Computer science, Segmentation, Computer vision, Pattern recognition (psychology), Political science, LawTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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59Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W4206693420, https://openalex.org/W6772750526, https://openalex.org/W2972093541, https://openalex.org/W2621285511, https://openalex.org/W3184581301, https://openalex.org/W3217116165, https://openalex.org/W2940249560, https://openalex.org/W4307366477, https://openalex.org/W2936801852, https://openalex.org/W6605232454, https://openalex.org/W4225898116, https://openalex.org/W2923486253, https://openalex.org/W4362575754, https://openalex.org/W3017097154, https://openalex.org/W4293037424, https://openalex.org/W3034050230, https://openalex.org/W2110158442, https://openalex.org/W2558156561, https://openalex.org/W4311951897, https://openalex.org/W2980998394, https://openalex.org/W3119505983, https://openalex.org/W3129029680, https://openalex.org/W3209874217, https://openalex.org/W4404294186, https://openalex.org/W4389611043, https://openalex.org/W2919358988, https://openalex.org/W2164390922, https://openalex.org/W3080447593, https://openalex.org/W2412782625, https://openalex.org/W2964309882, https://openalex.org/W3173780596, https://openalex.org/W2353346194, https://openalex.org/W2618530766, https://openalex.org/W4324368760, https://openalex.org/W3217005392, https://openalex.org/W4321095309, https://openalex.org/W4402422983, https://openalex.org/W4396980172, https://openalex.org/W4401305182, https://openalex.org/W3121791778, https://openalex.org/W4293225336, https://openalex.org/W4311141309, https://openalex.org/W4283781662, https://openalex.org/W7065218244, https://openalex.org/W2324411117, https://openalex.org/W2121927366, https://openalex.org/W2908320224, https://openalex.org/W2116046277, https://openalex.org/W2996290406, https://openalex.org/W2948553897, https://openalex.org/W2963859992, https://openalex.org/W2574253917, https://openalex.org/W2963881378, https://openalex.org/W4385270309, https://openalex.org/W126481648, https://openalex.org/W3104390926, https://openalex.org/W3141295761, https://openalex.org/W3104156061, https://openalex.org/W3132455321 |
| referenced_works_count | 59 |
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