An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg Ulcers.
Jens HüsersMaurice MoellekenMats L. RichterMareike PrzysuchaLeila MalihiDorothee BuschNina-Alexandra GötzJan HeggemannGuido HaferStefan WiemeyerBirgit BabitschGunther HeidemannJoachim DissemondCornelia Erfurt-BergeUrsula HübnerPublished in: MIE (2022)
Keyphrases
- image classification
- input image
- image analysis
- multiscale
- image data
- digital mammograms
- image content
- single image
- image features
- image segmentation
- pattern recognition
- bounding box
- partial occlusion
- image regions
- feature extraction
- image representation
- textural features
- region of interest
- image sequences
- segmentation method
- classification accuracy
- text classification
- edge detection
- object detection
- support vector
- detection method
- preprocessing stage
- feature selection
- thematic mapper
- hyperspectral images
- feature points
- similarity measure
- denoising
- object recognition