Influence of Image Pre-processing to Improve the Accuracy in a Convolutional Neural Network
Convolutional neural networks (CNN) have been applied in different fields including image recognition. A CNN requires a set of images that will be used to teach to classify it into specific categories. However, the question about how image pre-processing influences CNN accuracy has not yet been answ...
Saved in:
Other Authors: | Nandayapa, Manuel, Garcia Tena, Lorenzo Antonio, Cruz Sanchez, Vianey Guadalupe, Vergara Villegas, Osslan Osiris |
---|---|
Format: | Artículo |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://ijcopi.org/index.php/ojs/article/view/163 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Convolutional Neural Network for Handwritten Digit Recognition
by: Guevara Neri, Maria Cristina
Published: (2019) -
Residual 3D convolutional neural network to enhance sinograms from small-animal positron emission tomography images
Published: (2023) -
Radial Basis Function Neural Network for the Evaluation of Image Color Quality Shown on Liquid Crystal Displays
Published: (2021) -
Convolutional Neural Network in a Pseudo-Distributed Environment for Classification of Chest X-Ray Images of Patients with Pneumonia
by: Sánchez Solís, Julia Patricia
Published: (2020) -
Study of the Effect of Combining Activation Functions in a Convolutional Neural Network
by: Vergara Villegas, Osslan Osiris
Published: (2020)