Detecting Geckler Classification from Gram Stained Smears Images for Sputum.
Kazuki HashimotoRyosuke IidaKouichi HirataKimiko MatsuokaShigeki YokoyamaPublished in: ICPRAM (2020)
Keyphrases
- image classification
- image analysis
- microscopic images
- image database
- ground truth
- input image
- classification accuracy
- image data
- image features
- feature extraction
- three dimensional
- test images
- pattern recognition
- machine learning
- segmentation algorithm
- image set
- image collections
- hyperspectral images
- textural features
- thematic mapper
- high resolution computed tomography
- support vector machine svm
- feature points
- support vector machine
- image retrieval
- decision trees
- text classification
- edge detection
- extracted features
- image registration
- handwritten digits
- microscopy images
- support vector
- pigmented skin lesions