Computer Vision, Graphics, and Image Processing
Robust regression methods for computer vision: a review
International Journal of Computer Vision
Static scene analysis using structured light
Image and Vision Computing
A maximum likelihood stereo algorithm
Computer Vision and Image Understanding
Robust Parameter Estimation in Computer Vision
SIAM Review
International Journal of Computer Vision
ACM Computing Surveys (CSUR)
Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques
International Journal of Computer Vision
Design of efficient line segment detectors for cereal grain inspection
Pattern Recognition Letters
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
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Wheat grain quality assessment is important in meeting market requirements. The thickness of grains can be used for the measurement of the mass proportion of grains that pass through a sieve. This measure is known as ''screenings''. The determination of the presence or absence of the grain crease aids the detection of a stain called blackpoint, which is usually most evident on the non-crease side of the grain. In this paper we investigate the use of stereo vision techniques for measuring the thickness and detecting the presence or absence of the crease of a sample of wheat grains placed on a tray with dimples.