The fishmeal adulteration identification based on microscopic image and deep learning.
Jie GengJing LiuXianrui KongBosheng ShenZhiyou NiuPublished in: Comput. Electron. Agric. (2022)
Keyphrases
- deep learning
- multiscale
- image features
- image content
- single image
- input image
- image segmentation
- image representation
- segmentation method
- image retrieval
- machine learning
- image regions
- spatial information
- high resolution
- higher order
- bounding box
- unsupervised feature learning
- test images
- unsupervised learning
- object recognition
- pattern recognition
- feature extraction