A Novel Approach for Efficient Implementation of Nucleus Detection and Segmentation Using Correlated Dual Color Space

Khong, Yin Fung; Mirzaei, Shahnam

doi:10.1109/smc.2019.8913843

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…For example, the specified range of values i.e lower and upper limit for the ALL-IDB1 dataset is set to 100, 90, 80 and 255, 255, 255 respectively. This step effectively segments the blood smear images of varying resolutions and intensities [27]. The RGB color space images are transformed to YCbCr color space using the following equation:…”

Section: Ycrcbmentioning

confidence: 99%

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An Automated Segmentation of Leukocytes Using Modified Watershed Algorithm on Peripheral Blood Smear Images

Abrol

Dhalla

Gupta

et al. 2022

Preprint

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Purpose: Leukemia can be detected by an abnormal rise in the number of immature lymphocytes and by a decrease in the number of other blood cells. To diagnose the existence of leukemia, image processing techniques are utilized to examine microscopic peripheral blood smear (PBS) images automatically and swiftly.Methods: To the best of our knowledge, the initial step in subsequent processing is a robust segmentation technique for identifying leukocytes from their surroundings. The paper presents the segmentation of leukocytes in which three color spaces are considered in this study for image enhancement. The proposed algorithm uses marker-based watershed algorithm and peak local maxima.Results: The algorithm was used on three different datasets with various color tones, image resolutions, and magnifications. The average precision for all three-color spaces was same i.e. 94% but Structural Similarity Index Metric (SSIM) and recall of HSV was better than other two.Conclusion: The results of this study will aid experts in narrowing down their options for segmenting leukemia. Based on the comparison, it was concluded that when the colour space correction technique is used, the accuracy of the proposed methodology improves.

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Section: Ycrcbmentioning

confidence: 99%

“…After color correction, there are little dot-like patches that depict noise or ambiguity created during image acquisition. As a result, to overcome unwanted objects and eliminate imperfections from the images, morphological operations play an important role to purify cell mask [27].…”

Section: Morphological Operationsmentioning

confidence: 99%

An Automated Segmentation of Leukocytes Using Modified Watershed Algorithm on Peripheral Blood Smear Images

Abrol

Dhalla

Gupta

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

An Automated Segmentation of Leukocytes Using Modified Watershed Algorithm on Peripheral Blood Smear Images

Abrol

Dhalla

Gupta

et al. 2023

Wireless Pers Commun

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Leukemia can be detected by an abnormal rise in the number of immature lymphocytes and by a decrease in the number of other blood cells. To diagnose leukemia, image processing techniques are utilized to examine microscopic peripheral blood smear (PBS) images automatically and swiftly. To the best of our knowledge, the initial step in subsequent processing is a robust segmentation technique for identifying leukocytes from their surroundings. The paper presents the segmentation of leukocytes in which three color spaces are considered in this study for image enhancement. The proposed algorithm uses a marker-based watershed algorithm and peak local maxima. The algorithm was used on three different datasets with various color tones, image resolutions, and magnifications. The average precision for all three-color spaces was the same, i.e. 94% but the Structural Similarity Index Metric (SSIM) and recall of HSV were better than other two. The results of this study will aid experts in narrowing down their options for segmenting leukemia. Based on the comparison, it was concluded that when the colour space correction technique is used, the accuracy of the proposed methodology improves.

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White Blood Cells Classification Using Built-in Customizable Trained Convolutional Neural Network

Semerjian

Khong

Mirzaei

2021

2021 International Conference on Emerging Smart Computing and Informatics (ESCI)

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A Novel Approach for Efficient Implementation of Nucleus Detection and Segmentation Using Correlated Dual Color Space

Cited by 3 publications

References 23 publications

An Automated Segmentation of Leukocytes Using Modified Watershed Algorithm on Peripheral Blood Smear Images

An Automated Segmentation of Leukocytes Using Modified Watershed Algorithm on Peripheral Blood Smear Images

An Automated Segmentation of Leukocytes Using Modified Watershed Algorithm on Peripheral Blood Smear Images

White Blood Cells Classification Using Built-in Customizable Trained Convolutional Neural Network

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