Classification of Abstract Images using Machine Learning.
Animesh KarnewarAmeeth KanawadayChinmay SawantYash GuptaPublished in: ICDLT (2017)
Keyphrases
- machine learning
- image classification
- pattern recognition
- input image
- image analysis
- image database
- feature selection
- three dimensional
- support vector machine
- image data
- machine learning methods
- machine learning algorithms
- handwritten digits
- ground truth
- image retrieval
- supervised learning
- support vector machine svm
- image features
- unsupervised learning
- test images
- data mining
- text classification
- hyperspectral images
- decision trees
- computer vision
- model selection
- image collections
- supervised classification
- thematic mapper
- feature extraction
- support vector
- edge detection
- image registration
- classification accuracy
- image regions
- classification algorithm
- feature vectors
- learning algorithm
- preprocessing stage
- image set
- skin lesion
- image annotation
- supervised machine learning
- high resolution computed tomography
- feature points
- similarity measure
- fractal dimension
- object recognition
- texture analysis
- region of interest
- training set
- segmentation method