Enhancing the Performance of Grayscale Image Classification by 2D Charlier Moments Neural Networks

Lakhili, Zouhir; Alami, Abdelmajid El; Qjidaa, Hassan

doi:10.1007/978-981-15-6259-4_14

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Enhancing the Performance of Grayscale Image Classification by 2D Charlier Moments Neural Networks

Cited by 4 publications

References 30 publications

Fast and Accurate Color Image Classification Based on Quaternion Tchebichef Moments and Quaternion Convolutional Neural Network

Fast and Accurate Color Image Classification Based on Quaternion Tchebichef Moments and Quaternion Convolutional Neural Network

Efficient color face recognition based on quaternion discrete orthogonal moments neural networks

Rigid and non-rigid 3D shape classification based on 3D Hahn moments neural networks model

Contact Info

Product

Resources

About