The fusion feature wavelet pyramid based on FCIS and GLCM for texture classification-Reference-Cited by-同舟云学术

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The fusion feature wavelet pyramid based on FCIS and GLCM for texture classification

Published:2023-11-06 Issue: Volume: Page:
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Su Han,Chen Jiankai,Li Zhongyan,Meng Huixian,Wang Xin

Funder

National Key R &D Program of China

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Postdoctoral Research Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-023-02005-2.pdf

Reference56 articles.

1. Gudadhe S, Thakare A, Oliva D (2023) Classification of intracranial hemorrhage ct images based on texture analysis using ensemble-based machine learning algorithms: A comparative study. Biomed Signal Process Control 84:104832. https://doi.org/10.1016/j.bspc.2023.104832

2. Hammad A, Shawkat A (2022) Applying modified LBP for 2D ECG images classification. In: Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems (ICETIS) 573, 22–31. https://doi.org/10.1007/978-3-031-20429-6_3

3. Kamireddy R, Dhuli R (2023) Detection of brain tumors from MR images using fuzzy thresholding and texture feature descriptor. J Supercomput 79:1–32. https://doi.org/10.1007/s11227-022-05033-x

4. Taneja K, Arora V, Verma K (2023) Classifying the heart sound signals using textural-based features for an efficient decision support system. Expert Syst 40(6). https://doi.org/10.1111/exsy.13246

5. Liu Q, Song Y, Tang Q, Bu X, Hanajima N (2023) Wire rope defect identification based on ISCM-LBP and GLCM features. Vis Comput, 1–13. https://doi.org/10.1007/s00371-023-02800-6

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