A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Objective and quantitative segmentation evaluation and comparison
Signal Processing
Spatiotemporal Segmentation Based on Region Merging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computers and Biomedical Research
Two-dimensional entropic segmentation
Non-Linear Analysis
ACM Computing Surveys (CSUR)
Automated inspection of textured ceramic tiles
Computers in Industry
Digital Image Processing
Real-time vision-based system for textile fabric inspection
Real-Time Imaging
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fault segmentation in fabric images using Gabor wavelet transform
Machine Vision and Applications
Quality grading of painted slates using texture analysis
Computers in Industry - Special issue: Machine vision
Flank wear measurement by successive image analysis
Computers in Industry - Special issue: Machine vision
Efficient active contour and K-means algorithms in image segmentation
Scientific Programming - Distributed Computing and Applications
Crossing line profile: a new approach to detecting defects in aluminium die casting
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Automated multiple view inspection based on uncalibrated image sequences
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Automatic watershed segmentation of randomly textured color images
IEEE Transactions on Image Processing
Adaptive thresholding by variational method
IEEE Transactions on Image Processing
A recursive thresholding technique for image segmentation
IEEE Transactions on Image Processing
Fast and accurate edge-based segmentation with no contour smoothing in 2-D real images
IEEE Transactions on Image Processing
Rotation-invariant multiresolution texture analysis using Radon and wavelet transforms
IEEE Transactions on Image Processing
Texture analysis and classification with tree-structured wavelet transform
IEEE Transactions on Image Processing
Improved techniques for automatic image segmentation
IEEE Transactions on Circuits and Systems for Video Technology
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To extract desired flaws from various types of images, the integration of different segmentation methods is required. In this study, we present an intelligent method for automatic selection of a proper image segmentation method upon detecting a particular flaw type. The new method is capable of choosing the most suitable method from four segmentation methods currently available. The automatic selection procedures start from the pre-segmentation of an image to be examined. Then, the predetermined features are extracted from the original, foreground, and background images. After that, a suitable segmentation method will be selected using a classifier based on six features. Finally, the image is re-segmented by the selected segmentation method to discover flaws. The proposed method has been tested using 1676 defective images. The results show a significant reduction in misclassification rate from about 44% to 13.96%.