A State-of-the-art Survey of Object Detection Techniques in Microorganism Image Analysis: from Traditional Image Processing and Classical Machine Learning to Current Deep Convolutional Neural Networks and Potential Visual Transformers.
Chen LiPingli MaMd Mamunur RahamanYudong YaoJiawei ZhangShuojia ZouXin ZhaoMarcin GrzegorzekPublished in: CoRR (2021)
Keyphrases
- image analysis
- image processing
- object detection
- machine learning
- computer vision
- convolutional neural networks
- pattern recognition
- image enhancement
- signal processing
- mathematical morphology
- image understanding
- remote sensing
- face detection
- active learning
- feature extraction
- medical imaging
- machine vision
- deep learning
- visual information
- action recognition
- machine learning algorithms
- geodesic metric
- image segmentation
- object recognition
- image restoration
- artificial intelligence
- image processing algorithms
- low level
- natural language processing
- denoising
- edge detection
- visual features
- supervised learning
- multiresolution
- pairwise
- multiscale
- coarse to fine
- pedestrian detection
- scene understanding
- scene recognition
- decision trees
- speech processing
- recent trends
- data mining