Fast segmentation of industrial quality pavement images using Laws texture energy measures and k-means clustering.
Senthan MathavanAkash KumarKhurram KamalMichael NieminenHitesh ShahMujib RahmanPublished in: J. Electronic Imaging (2016)
Keyphrases
- image regions
- segmentation algorithm
- segmentation method
- test images
- image analysis
- grey level
- images of natural scenes
- textured regions
- textured images
- segmented images
- image segmentation algorithms
- texture information
- image segments
- unsupervised segmentation
- edge detection
- texture feature extraction
- image data
- textured objects
- image segmentations
- segmentation errors
- ground truth
- textural information
- gray level images
- input image
- image registration
- image features
- texture segmentation
- segmentation scheme
- image database
- image classification
- color features
- texture features
- texture and shape features
- multiple scales
- image segmentation
- pixel intensities
- intensity variations
- image edges
- pixel wise
- planar regions
- texture images
- segmented regions
- multiscale
- gradient information
- pixel level
- intensity information
- image structure
- natural images
- image retrieval
- microscopy images
- natural textures
- region boundaries
- medical images
- level set
- filtered images
- pavement distress
- color and texture information
- markov random field
- gray level
- texture classification
- image recognition
- texture mapping
- skin lesion
- textural features