Skip to main content
SpringerLink
Log in

Peripheral blood cell classification using modified local-information weighted fuzzy C-means clustering-based golden eagle optimization model

  • Application of soft computing
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

This paper presents a novel medical image processing technique for analyzing different peripheral blood cells such as monocytes, lymphocytes, neutrophils, eosinophils, basophils, and macrophages. However, the existing systems suffered from low accuracy while classifying the different blood cell images and also consume higher processing power. The proposed model consists of two major steps such as segmentation and classification of peripheral blood cells. The modified local-information weighted intuitionistic Fuzzy C-means clustering (MLWIFCM)-based golden eagle optimization algorithm performs the nucleus segmentation. Finally, the peripheral blood cell classes such as Basophil, Lymphocyte, Neutrophil, Monocyte, and Eosinophil are effectively classified using hybrid-parameter RNN-based remora optimization algorithm. The MATLAB R2019b is used as the implementation platform. To analyze the performances of our proposed method, we have taken two datasets; they are BCCD and LISC datasets. Meanwhile, the classification performances were analyzed with the aid of different performance metrics such as mean accuracy, mean intersection over union, mean average precision, and mean BF score values.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data availability

Enquiries about data availability should be directed to the authors.

References

  • Acharya T, Ray AK (2005) Image processing: principles and applications. Wiley, Hoboken

    Book  Google Scholar 

  • Bankman I (ed) (2008) Handbook of medical image processing and analysis. Elsevier, Amsterdam

    Google Scholar 

  • Bjelkhagen H, Brotherton-Ratcliffe D (2013) Ultra-realistic imaging: advanced techniques in analogue and digital colour holography. CRC Press, Boca Raton

    Google Scholar 

  • Carrick JB, Begg AP (2008) Peripheral blood leukocytes. Vet Clin N Am Equine Pract 24(2):239–259

    Article  Google Scholar 

  • Dougherty G (ed) (2011) Medical image processing: techniques and applications. Springer, Berlin

    Google Scholar 

  • Gowthul Alam MM, Baulkani S (2019a) Geometric structure information based multi-objective function to increase fuzzy clustering performance with artificial and real-life data. Soft Comput 23(4):1079–1098

    Article  Google Scholar 

  • Gowthul Alam MM, Baulkani S (2019b) Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction. Knowl Inf Syst 60(2):971–1000

    Article  Google Scholar 

  • Hajek P, Froelich W, Prochazka O (2020) Intuitionistic fuzzy grey cognitive maps for forecasting interval-valued time series. Neurocomputing 400:173–185

    Article  Google Scholar 

  • Hassan BA (2020) CSCF: a chaotic sine cosine firefly algorithm for practical application problems. Neural Comput Appl 33:1–20

    Google Scholar 

  • Hassan BA, Rashid TA (2020) Datasets on statistical analysis and performance evaluation of backtracking search optimisation algorithm compared with its counterpart algorithms. Data Brief 28:105046

    Article  Google Scholar 

  • http://users.cecs.anu.edu.au/~hrezatofighi/Data/Leukocyte%20Data.htm.

  • https://www.kaggle.com/surajiiitm/bccd-dataset.

  • Huang DC, Hung KD, Chan YK (2012) A computer assisted method for leukocyte nucleus segmentation and recognition in blood smear images. J Syst Softw 85(9):2104–2118

    Article  Google Scholar 

  • Jia H, Peng X, Lang C (2021) Remora optimization algorithm. Expert Syst Appl 19:115665

    Article  Google Scholar 

  • Krinidis S, Chatzis V (2010) A robust fuzzy local information C-means clustering algorithm. IEEE Trans Image Process 19(5):1328–1337

    Article  MathSciNet  MATH  Google Scholar 

  • Lin L, Wang W, Chen B (2018) Leukocyte recognition with convolutional neural network. J Algorithms Comput Technol 13:1748301818813322

    Google Scholar 

  • Luo Y, Chen Z, Yoshioka T (2020) Dual-path rnn: efficient long sequence modeling for time-domain single-channel speech separation. In: ICASSP 2020–2020 IEEE international conference on acoustics, speech and signal processing (ICASSP). IEEE, pp 46–50

  • Miao J, Zhou X, Huang TZ (2020) Local segmentation of images using an improved fuzzy C-means clustering algorithm based on self-adaptive dictionary learning. Appl Soft Comput 91:106200

    Article  Google Scholar 

  • Mohammadi-Balani A, Nayeri MD, Azar A, Taghizadeh-Yazdi M (2021) Golden eagle optimizer: a nature-inspired metaheuristic algorithm. Comput Ind Eng 152:107050

    Article  Google Scholar 

  • Mohammed ZF, Abdulla AA (2020) Thresholding-based white blood cells segmentation from microscopic blood images. UHD J Sci Technol 4(1):9–17

    Article  Google Scholar 

  • Petrou MM, Petrou C (2010) Image processing: the fundamentals. Wiley, Hoboken

    Book  MATH  Google Scholar 

  • Reena MR, Ameer PM (2020) Localization and recognition of leukocytes in peripheral blood: a deep learning approach. Comput Biol Med 126:104034

    Article  Google Scholar 

  • Rejeesh MR (2019) Interest point based face recognition using adaptive neuro fuzzy inference system. Multimed Tools Appl 78(16):22691–22710

    Article  Google Scholar 

  • Ren H, Wang W, Qu X, Cai Y (2019) A new hybrid-parameter recurrent neural network for online handwritten chinese character recognition. Pattern Recognit Lett 128:400–406

    Article  Google Scholar 

  • Sherstinsky A (2020) Fundamentals of recurrent neural network (RNN) and long short-term memory (LSTM) network. Physica D Nonlinear Phenom 404:132306

    Article  MathSciNet  MATH  Google Scholar 

  • Sudha K, Geetha P (2020) Leukocyte segmentation in peripheral blood images using a novel edge strength cue-based location detection method. Med Biol Eng Comput 58(9):1995–2008

    Article  Google Scholar 

  • Sundararaj V (2016) An efficient threshold prediction scheme for wavelet based ECG signal noise reduction using variable step size firefly algorithm. Int J Intell Eng Syst 9(3):117–126

    Google Scholar 

  • Sundararaj V (2019) Optimised denoising scheme via opposition-based self-adaptive learning PSO algorithm for wavelet-based ECG signal noise reduction. Int J Biomed Eng Technol 31(4):325

    Article  Google Scholar 

  • Sundararaj V, Rejeesh MR (2021) A detailed behavioral analysis on consumer and customer changing behavior with respect to social networking sites. J Retail Consum Serv 58:102190

    Article  Google Scholar 

  • Sundararaj V, Muthukumar S, Kumar RS (2018) An optimal cluster formation based energy efficient dynamic scheduling hybrid MAC protocol for heavy traffic load in wireless sensor networks. Comput Secur 77:277–288

    Article  Google Scholar 

  • Sundararaj V, Anoop V, Dixit P, Arjaria A, Chourasia U, Bhambri P, Rejeesh MR, Sundararaj R (2020) CCGPA-MPPT: Cauchy preferential crossover-based global pollination algorithm for MPPT in photovoltaic system. Prog Photovolt Res Appl 28(11):1128–1145

    Article  Google Scholar 

  • Tieleman T, Hinton GE (2012) Divide the gradient by a running average of its recent magnitude. COURSERA Neural Netw Mach Learn 4:26–31

    Google Scholar 

  • Tiwari M, Tiwari T, Sam Santhose S, Mishra L, Rejeesh MR, Sundararaj V (2021) Corporate social responsibility and supply chain: A study for evaluating corporate hypocrisy with special focus on stakeholders. Int J Finance Econ. https://doi.org/10.1002/ijfe.2483

    Article  Google Scholar 

  • Tomlinson RF (1988) The impact of the transition from analogue to digital cartographic representation. Am Cartogr 15(3):249–262

    Article  Google Scholar 

  • Vinu S (2019) Optimal task assignment in mobile cloud computing by queue based ant-bee algorithm. Wirel Pers Commun 104(1):173–197

    Article  Google Scholar 

  • Wang X, Zhu H, Snieder H, Su S, Munn D, Harshfield G, Maria BL, Dong Y, Treiber F, Gutin B, Shi H (2010) Obesity related methylation changes in DNA of peripheral blood leukocytes. BMC Med 8(1):1–8

    Article  Google Scholar 

  • Wang Q, Bi S, Sun M, Wang Y, Wang D, Yang S (2019) Deep learning approach to peripheral leukocyte recognition. PLoS ONE 14(6):e0218808

    Article  Google Scholar 

  • Wei D, Wang Z, Si L, Tan C, Lu X (2021) An image segmentation method based on a modified local-information weighted intuitionistic Fuzzy C-means clustering and gold-panning algorithm. Eng Appl Artif Intell 101:104209

    Article  Google Scholar 

  • Yapıcı H, Çetinkaya N (2017) An improved particle swarm optimization algorithm using eagle strategy for power loss minimization. Math Probl Eng 2017:1–11

    Article  MathSciNet  Google Scholar 

  • Zhao J, Zhang M, Zhou Z, Chu J, Cao F (2017) Automatic detection and classification of leukocytes using convolutional neural networks. Med Biol Eng Comput 55(8):1287–1301

    Article  Google Scholar 

Download references

Funding

The authors have not disclosed any funding.

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, JIMS Engineering Management Technical Campus, Guru Govind Singh Indraprastha University, New Delhi, India

    Avinash Dwivedi

  2. School of Computing Science and Engineering, Galgotias University, Greater Noida, Uttar Pradesh, India

    Vipin Rai

  3. Center for Excellence on Cyber Scecurity and Cryptology, Computer Science & Engineering School of Engineering & Technology, Sharda University, Greater Noida, Uttar Pradesh, India

    Amrita

  4. Department of Computer Science & Engineering, GL Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India

    Shivani Joshi & Rajiv Kumar

  5. NSBT-MGM University, Aurangabad, Maharashtra, India

    Sanjeev Kumar Pippal

Authors
  1. Avinash Dwivedi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vipin Rai
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Amrita
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shivani Joshi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Rajiv Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Sanjeev Kumar Pippal
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Shivani Joshi or Rajiv Kumar.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Human and animal rights

This article does not contain any studies with human or animal subjects performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dwivedi, A., Rai, V., Amrita et al. Peripheral blood cell classification using modified local-information weighted fuzzy C-means clustering-based golden eagle optimization model. Soft Comput 26, 13829–13841 (2022). https://doi.org/10.1007/s00500-022-07392-2

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-022-07392-2

Keywords

Search

Navigation