M-SKSNet: Multi-Scale Spatial Kernel Selection for Image Segmentation of Damaged Road Markings.
Junwei WangXiaohan LiaoYong WangXiangqiang ZengXiang RenHuanyin YueWenqiu QuPublished in: Remote. Sens. (2024)
Keyphrases
- multiscale
- image segmentation
- image representation
- image processing
- spatial information
- spatial and temporal
- natural images
- markov random field
- wavelet transform
- pre selected
- image analysis
- boundary detection
- edge detection
- kernel methods
- support vector
- spatial data
- road network
- multiple scales
- normalized cut
- deformable models
- scale space
- kernel function
- spatio temporal
- brain image segmentation
- spatial color
- gray level
- spatial databases
- coarse to fine
- region growing
- spatial relationships
- segmentation method
- segmented images
- aerial images
- image segmentation algorithm
- graph cuts
- texture segmentation
- active contours
- urban areas
- level set method
- object segmentation
- segmentation algorithm
- space time
- computer vision
- missing data