Abstract: An apparatus for obtaining a retinal image of an eye has a control logic processor (214) for executing a sequence of operations for obtaining the image. A visual target (162) orients the eye of a patient when viewed. An indicator element (410) provides a signal that indicates that the patient is in position. A cornea focus detection section (450) indicates cornea focus, in cooperation with the control logic processor (214). An alignment actuator aligns the optical path according to a signal obtained from the cornea focus detection section (450). A retina focus detection section (452) detects retina focus in cooperation with the control logic processor (214). A focusing actuator (406) is controlled by instructions from the control logic processor (214) according to a signal obtained from the retina focus detection section (452). An image capture light source is energized by the control logic processor (214) for illuminating the retina.

Abstract: A method for applying defect correction and calibration to image data (100) in an imaging system using an area spatial light modulator (146), where a tone correction LUT (148?) is applied to the image data (100) to apply calibration correction before applying defect correction using a defect map (122) with an accompanying gain table (124). The tone correction LUT (148) is then applied to the image data in the image modulation assembly (140).

Abstract: An apparatus (220) for obtaining a scanned image of an eye has a reference locator for pupil alignment apparatus along an optical axis. A pupil profiling apparatus for obtaining an outline of the pupil has a pupil profiling light source (176), a sensor (170) for detecting reflected light, and a control logic processor (104) for computing an outline of the pupil according to detected light. An illumination apparatus (112) for directing visible illumination into the eye has a spatial light modulator (125) for shaping an illumination beam according to the detected outline, a scanning element (229), and a camera (146) for obtaining the scanned image by sensing a portion of the reflected illumination.

Abstract: A method for determining an optimum gain response in a spatial frequency correction for a projection system comprises the steps of setting a code value (100) to a first code value; projecting a flat field image at the code value; capturing the flat field image (540) with a camera; creating a defect map (70) of defects in the flat field image; applying the defect map to the flat field image to form a corrected image; setting a gain table (80) to a first gain for the corrected image; applying the gain table to the corrected image; registering the corrected image; filtering the registered image; measuring the filtered image for a standard deviation (570); determining whether all gains for producing an under corrected image (60) and an over corrected image have been exhausted for the code value; if all gains have not been exhausted for the code value, set the gain table to the first gain plus n and go to the step of applying the gain table to the corrected image, if all gains have been exhausted go to determining

Abstract: A method for applying defect correction and calibration to image data (100) in an imaging system using an area spatial light modulator (146), where a tone correction LUT (148′) is applied to the image data (100) to apply calibration correction before applying defect correction using a defect map (122) with an accompanying gain table (124). The tone correction LUT (148) is then applied to the image data in the image modulation assembly (140).

Abstract: A method for determining an optimum gain response in a spatial frequency correction for a projection system comprises the steps of setting a code value (100) to a first code value; projecting a flat field image at the code value; capturing the flat field image (540) with a camera; creating a defect map (70) of defects in the flat field image; applying the defect map to the flat field image to form a corrected image; setting a gain table (80) to a first gain for the corrected image; applying the gain table to the corrected image; registering the corrected image; filtering the registered image; measuring the filtered image for a standard deviation (570); determining whether all gains for producing an under corrected image (60) and an over corrected image have been exhausted for the code value; if all gains have not been exhausted for the code value, set the gain table to the first gain plus n and go to the step of applying the gain table to the corrected image, if all gains have been exhausted go to determining