Machine vision algorithms for mining equipment automation
Li, Yunming (2000) Machine vision algorithms for mining equipment automation. .
Impact and interest:
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|Item Type:||QUT Thesis (PhD)|
|Additional Information:||Presented to the School of Mechanical and Manufacturing and Medical Engineering, Queensland University of Technology.|
|Keywords:||Mining machinery Automatic control Data processing, Computer vision, Algorithms, Hough transform, mathematical morphology, object detection, rotational symmetry, edge detection, gradient operators, chain code, run-lengh code, occlusion analysis, concavity identification, T-junction, shape representation, model-based object recognition, occluded contour reconstruction, topological expression, affine transformation, motion blur, image reconstruction, image deblurring, discrete Fourier transform, pipeline image processing, inverse perspective, mining equipment, automation, mining robotics, dragline, machine vision, robustness, efficiency, pattern recognition, thesis, doctoral|
|Institution:||Queensland University of Technology|
|Copyright Owner:||Copyright Yunming Li|
|Deposited On:||22 Sep 2010 23:04|
|Last Modified:||09 Feb 2011 23:55|
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