Unsupervised Image Anomaly Detection and Localization in Industry Based on Self-Updated Memory and Center Clustering.
Yongheng LiuXiangdong GaoJames Zhiqing WenHuiyuan LuoPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- image classification
- unsupervised learning
- multiscale
- image analysis
- image data
- input image
- single image
- image collections
- image content
- image representation
- image features
- image retrieval
- case study
- template matching
- high resolution
- low level
- unsupervised clustering
- supervised classification
- image segmentation
- hough transform
- image matching
- unsupervised feature selection
- unsupervised classification
- similarity measure
- digital images
- test images
- clustering method
- data clustering
- clustering algorithm
- image pixels
- segmentation algorithm
- similar objects
- self organizing maps
- segmentation method
- feature extraction
- image quality
- semi supervised