The detection of saffron adulterants using a deep neural network approach based on RGB images taken under uncontrolled conditions.
Pejman AlighalehHossein KhosraviAbbas RohaniMohammad Hossein SaeidiradSoodabeh EinafsharPublished in: Expert Syst. Appl. (2022)
Keyphrases
- neural network
- image database
- input image
- test images
- lighting conditions
- image registration
- object recognition
- image analysis
- image retrieval
- detection rate
- image data
- ground truth
- image classification
- automatic detection
- complex background
- detection algorithm
- false positives
- segmentation method
- image collections
- rigid body
- illumination conditions
- gray scale
- denoising
- digital mammography
- image features
- traffic signs
- rgb color
- white balance
- partial occlusion
- image regions
- high resolution
- artificial neural networks
- face recognition
- three dimensional