Classification of Skin Lesion Images Using Artificial Intelligence Methodologies through Radial Fourier–Mellin and Hilbert Transform Signatures

Classification of Skin Lesion Images Using Artificial Intelligence Methodologies through Radial Fourier–Mellin and Hilbert Transform Signatures

This manuscript proposes the possibility of concatenated signatures (instead of images) obtained from different integral transforms, such as Fourier, Mellin, and Hilbert, to classify skin lesions. Eight lesions were analyzed using some algorithms of artificial intelligence: basal cell carcinoma (BCC...

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Bibliographic Details
Main Authors: Esperanza Guerra-Rosas, Luis Felipe López-Ávila, Esbanyely Garza-Flores, Claudia Andrea Vidales-Basurto, Josué Álvarez-Borrego
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
radial Fourier signatures
SVM
machine learning
skin lesions
texture descriptors
image processing
Online Access:https://www.mdpi.com/2076-3417/13/20/11425

Internet

https://www.mdpi.com/2076-3417/13/20/11425

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