Aug 2026
DeepWave Feature Extractor (DW-FE): An Approach to Image Feature Extraction Combining Wavelet Transformation and Deep Learning for Mango and Apple Leaf Disease Classification
The DeepWave Feature Extractor (DW-FE) is proposed, a tri-branch framework integrating Haar wavelet decomposition for multi-resolution frequency features, pre-trained VGG16 for deep semantic representations, and a custom lightweight CNN for dataset-specific spatial patterns.
Ishana Attri, L. K. Awasthi, T. P. Sharma
· Applied Fruit Science · 0 citations