The Classification of Fetus Gender Based on Fuzzy C-Mean Using a Hybrid Filter
| Autor: | Firas A. Abdullatif, Ahmed S Aljuboori, Duraid Y. Mahmmed |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Journal of Physics: Conference Series. 1879:022084 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/1879/2/022084 |
| Popis: | This paper proposes a new approach, of Clustering Ultrasound images using the Hybrid Filter (CUHF) to determine the gender of the fetus in the early stages. The possible advantage of CUHF, a better result can be achieved when fuzzy c-mean FCM returns incorrect clusters. The proposed approach is conducted in two steps. Firstly, a preprocessing step to decrease the noise presented in ultrasound images by applying the filters: Local Binary Pattern (LBP), median, median and discrete wavelet (DWT), (median, DWT & LBP) and (median & Laplacian) ML. Secondly, implementing Fuzzy C-Mean (FCM) for clustering the resulted images from the first step. Amongst those filters, Median & Laplace has recorded a better accuracy. Our experimental evaluation on real data from the Kadhimiya teaching hospital shows that the proposed CUHF is a better method when compared to the accuracy of the other integrated filters. |
| Databáze: | OpenAIRE |
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