Diagnosing the spores of tomato fungal diseases using microscopic image processing and machine learning.
Seyed Mohamad JavidanAhmad BanakarKeyvan Asefpour VakilianYiannis AmpatzidisKamran RahnamaPublished in: Multim. Tools Appl. (2024)
Keyphrases
- machine learning
- image processing
- pattern recognition
- image analysis
- computer vision
- signal processing
- machine vision
- speech processing
- natural language processing
- computational intelligence
- multiscale
- remote sensing
- image enhancement
- explanation based learning
- computer graphics
- machine learning and data mining
- active learning
- learning algorithm
- digital image processing
- model based diagnosis
- machine learning methods
- image denoising
- computational biology
- machine learning algorithms
- image processing algorithms
- image compression
- edge detection
- supervised learning
- data analysis
- image segmentation
- decision trees
- feature selection
- artificial intelligence
- machine learning approaches
- learning tasks
- learning problems
- inductive learning
- risk factors
- data mining
- severe acute respiratory syndrome
- partial differential equations
- medical imaging
- image restoration
- knowledge acquisition
- medical images
- text mining
- reinforcement learning
- genetic algorithm