A Comparative Study of Feature Extraction Methods in Image Classification Using Convolution Neural Network Model
Author:
Affiliation:
1. NMAM Institute of Technology(Deemed to be University),Dept of Computer Science Engineering,Udupi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10366519/10366522/10367096.pdf?arnumber=10367096
Reference21 articles.
1. Detection and classification of lung cancer computed tomography images using a novel improved deep belief network with Gabor filters
2. Phase-based motion estimation in complex environments using the illumination-invariant log-Gabor filter
3. The ideal effect of Gabor filters and Uniform Local Binary Pattern combinations on deformed scanned paper images
4. Stereo Vision-Based Object Recognition and Manipulation by Regions with Convolutional Neural Network
5. Automated detection of workers and heavy equipment on construction sites: A convolutional neural network approach
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