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A novel modified SFTA approach for feature extraction

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bracu.type.groupResearch Publications
datacite.rightsOpen Access
dc.contributor.authorHasan, Md. Junayed
dc.contributor.authorUddin, Jia
dc.contributor.authorPinku, Subroto Nag
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2026-07-30T05:46:26Z
dc.date.available2026-07-30T05:46:26Z
dc.date.issued2017-03-06
dc.description.abstractTo increase the efficiency of conventional Segmentation Based Fractal Texture Analysis (SFTA), we propose a new approach on SFTA algorithm. We use an optimum multilevel thresholding hybrid method of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO), called HGAPSO with the optimization technique for classification based on grey level range to get more accurate output. Experimental results show that proposed approach exhibits average 2% higher classification accuracy than conventional SFTA for our tested dataset.
dc.description.versionPublished
dc.identifier.citationM. J. Hasan, J. Uddin and S. N. Pinku, "A novel modified SFTA approach for feature extraction," 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), Dhaka, Bangladesh, 2016, pp. 1-5, doi: 10.1109/CEEICT.2016.7873115.
dc.identifier.doi10.1109/CEEICT.2016.7873115
dc.identifier.issn9781509029068
dc.identifier.other2-s2.0-85016982859
dc.identifier.urihttps://hdl.handle.net/10361/28698
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/CEEICT.2016.7873115
dc.relation.ispartof2016 3rd International Conference on Electrical Engineering and Information and Communication Technology Iceeict 2016
dc.relation.ispartofseries2016 3rd International Conference on Electrical Engineering and Information and Communication Technology Iceeict 2016
dc.relation.urihttps://ieeexplore.ieee.org/document/7873115
dc.subjectHGAPSO
dc.subjectMultilevel thresholing
dc.subjectOtsu function
dc.subjectSFTA (Segmentation Based Fractal Texture Analysis)
dc.subject.lcshImage processing--Digital techniques.
dc.subject.lcshPattern recognition systems.
dc.titleA novel modified SFTA approach for feature extraction
dc.typeConference Proceeding
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.scopus-author-id57213529645
person.identifier.scopus-author-id54994936900
person.identifier.scopus-author-id57193834802

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