Texture Feature Extraction Using Intuitionistic Fuzzy Local Binary Pattern
| Autor: | Ansari Mohd Dilshad, Ghrera Satya Prakash, Mishra Arunodaya Raj |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: | |
| Zdroj: | Journal of Intelligent Systems, Vol 29, Iss 1, Pp 19-34 (2016) |
| Druh dokumentu: | article |
| ISSN: | 0334-1860 2191-026X |
| DOI: | 10.1515/jisys-2016-0155 |
| Popis: | In this paper, intuitionistic fuzzy local binary for texture feature extraction (IFLBP) has been proposed to encode local texture from the input image. The proposed method extends the fuzzy local binary pattern approach by incorporating intuitionistic fuzzy sets in the representation of local patterns of texture in images. Intuitionistic fuzzy local binary pattern also contributes to more than one bin in the distribution of IFLBP values, which can further be used as a feature vector in the various fields of image processing. The performance of the proposed method has been demonstrated on various medical images and processing images of size 256×256. The obtained results validated the effectiveness and usefulness of our proposed method over the other reported methods, and new improvements are suggested. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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