الفهرس 
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Abstract
Abstract
This thesis presents a new technique for calibrating heliostat errors which affect the
heliostat efficiency and the production of thermal energy from the reflected beam from mirror
to the target. This technique is based on analyzing the image for identifying different
deterministic error types in single facet small heliostat, such as pedestal tilt and deformation
due to wind loading. The technique depends on the image constructed from reflected beam.
For each image, seven features are extracted and stored. These features are based on the
moment invariant technique, which is insensitive to translation, rotation, and scale changes.
The obtained results verify accurate and fast operation for heliostat calibration. The computed
false negative rate is 0.06 and the recognition rate is 94.0476 %