Localization and Classification of Rice-grain Images Using Region Proposals-based Convolutional Neural Network.
Kittinun AukkapinyoSuchakree SawangwongParintorn PooyoiWorapan KusakunniranPublished in: Int. J. Autom. Comput. (2020)
Keyphrases
- convolutional neural network
- image classification
- input image
- image regions
- image database
- region of interest
- image data
- three dimensional
- pattern recognition
- image features
- image analysis
- image pixels
- preprocessing stage
- ground truth
- similarity measure
- thematic mapper
- classification accuracy
- feature vectors
- image retrieval
- accurate localization
- support vector
- region detection
- precise localization
- decision trees
- machine learning
- homogeneous regions
- skin lesion
- hyperspectral images
- pigmented skin lesions
- image structure
- segmentation method
- text classification
- edge detection
- image registration
- support vector machine
- gabor filters
- extracted features
- segmented images
- image set
- localization method
- adjacent regions
- feature extraction
- feature selection
- neural network