A hybrid convolutional neural network-support vector machine architecture for classification of super-resolution enhanced chromosome images.
Dinesh MenakaS. Ganesh VaidyanathanPublished in: Expert Syst. J. Knowl. Eng. (2023)
Keyphrases
- super resolution
- low resolution images
- support vector machine
- high resolution images
- convolutional neural network
- low resolution
- image resolution
- high resolution
- super resolved
- imaging process
- resolution enhancement
- higher resolution
- image classification
- degraded images
- image reconstruction
- support vector
- image super resolution
- input image
- image database
- image restoration
- single frame
- super resolution reconstruction
- image synthesis
- highest resolution
- image features
- image registration
- low quality images
- feature selection
- three dimensional
- multi class
- face detection
- combining information from multiple
- super resolution algorithm
- high quality
- object recognition
- feature vectors
- back projection
- motion estimation
- test images
- training set
- light field
- feature space
- multi frame
- depth map
- knn
- edge detection
- multiresolution
- image quality
- training data
- facial images
- feature extraction
- neural network