Overlapping White Blood Cells Detection Based on Watershed Transform and Circle Fitting Article Swipe
Komal Nain Sukhia
,
Muhammad Mohsin Riaz
,
Abdul Ghafoor
,
Naima Iltaf
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.13164/re.2017.1177
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.13164/re.2017.1177
White blood cell (WBC) count and segmentation is considered to be important step to diagnose diseases like leukemia, malaria etc. Automatic analysis of blood smear images will help hematologists to detect WBCs efficiently and effectively as compared to manual analysis which is quite time consuming. Therefore, an automatic white blood cells detection technique for complex blood smear images is proposed. The proposed scheme uses segmentation and edge map extraction for the separation of overlapped WBCs and further parametric circle approximation is used which is capable of detecting both separated and overlapped white blood cells. Simulation results compared with the existing techniques verify the accuracy and robustness of the proposed scheme.
Related Topics
Concepts
Artificial intelligence
Computer science
Segmentation
Robustness (evolution)
Blood smear
Computer vision
Pattern recognition (psychology)
Edge detection
Parametric statistics
Preprocessor
Image processing
Medicine
Mathematics
Image (mathematics)
Malaria
Statistics
Pathology
Biochemistry
Chemistry
Gene
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.13164/re.2017.1177
- https://doi.org/10.13164/re.2017.1177
- OA Status
- gold
- Cited By
- 9
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2977456201
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2977456201Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.13164/re.2017.1177Digital Object Identifier
- Title
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Overlapping White Blood Cells Detection Based on Watershed Transform and Circle FittingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-12-14Full publication date if available
- Authors
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Komal Nain Sukhia, Muhammad Mohsin Riaz, Abdul Ghafoor, Naima IltafList of authors in order
- Landing page
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https://doi.org/10.13164/re.2017.1177Publisher landing page
- PDF URL
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https://doi.org/10.13164/re.2017.1177Direct link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.13164/re.2017.1177Direct OA link when available
- Concepts
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Artificial intelligence, Computer science, Segmentation, Robustness (evolution), Blood smear, Computer vision, Pattern recognition (psychology), Edge detection, Parametric statistics, Preprocessor, Image processing, Medicine, Mathematics, Image (mathematics), Malaria, Statistics, Pathology, Biochemistry, Chemistry, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1, 2022: 2, 2020: 4Per-year citation counts (last 5 years)
- References (count)
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17Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| primary_location.version | publishedVersion |
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| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
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| primary_location.landing_page_url | https://doi.org/10.13164/re.2017.1177 |
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| publication_year | 2017 |
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