A snapshot of image pre-processing for convolutional neural networks: case study of MNIST.
Siham TabikDaniel PeraltaAndrés Herrera-PoyatosFrancisco HerreraPublished in: Int. J. Comput. Intell. Syst. (2017)
Keyphrases
- case study
- preprocessing
- convolutional neural networks
- image features
- post processing
- convolutional network
- image content
- input image
- image data
- image representation
- image classification
- single image
- image segmentation
- image analysis
- image retrieval
- multiscale
- image processing
- template matching
- spatial information
- image regions
- image collections
- segmentation algorithm
- pixel values
- image structure
- feature points
- keypoints
- edge detection
- test images
- image pixels
- lighting conditions
- segmentation method
- region of interest
- feature extraction
- multiresolution
- energy function
- similarity measure
- medical images
- dynamic programming
- high resolution