DMD-based imaging pre-processing device and method

Abstract

The invention discloses a DMD-based imaging pre-processing device and a DMD-based pre-imaging processing method. The DMD-based pre-imaging processing device comprises a CCD, a first lens group, a DMD, a second lens group, a DSP and an object space working surface. Spatial one-to-one correspondence between micro mirror-image elements in the DMD and CCD pixels is realized, and coordinate corresponding relation imaging of the CCD and the DMD and corresponding relation imaging of the DMD and the object space working surface are performed, and therefore, the pre-imaging processing device can process incident light before imaging. According to the DMD-based imaging pre-processing device and method of the invention, the focus of the work of image processing is shifted from post-imaging to an optical path of pre-imaging; and corresponding imaging of the CCD and the DMD is utilized, such that the gray range index of an imaging gray histogram can be increased, and therefore, the dynamic range of an imaging system can be expanded. With the DMD-based imaging pre-processing device and method of invention adopted, defects in environmental lighting and a field of view can be eliminated, and imaging quality and visual expressivity of an object can be improved. The DMD-based imaging pre-processing device and method of the invention can be widely applied in fields such as industrial inspection, medical imaging and astronomical observation.

Description

technical field [0001] The invention relates to a computerized camera imaging system, in particular to a DMD-based imaging preprocessing system. Background technique [0002] The traditional visual imaging processing technology uses computer algorithms to analyze, process and process the captured images after imaging to meet various needs such as visual senses, feature recognition, target tracking, detection and measurement. However, the imaging post-processing technology is limited by the imaging environment and the inherent defects of the image field itself, and cannot fundamentally eliminate the imaging quality problem. For example, in the visual measurement site, the visual measurement device is affected by the surrounding light and its own structured light. When light from different incident angles strikes targets with different roughness, reflection and transmittance, contour depth, contour curvature and color, they will behave differently in the visual device, and im...

AI Technical Summary

Problems solved by technology

When light from different incident angles hits targets with different roughness, reflection and transmittance, contour depth, contour curvature and color, they will behave differently in the visual device, and imaging post-processing technology cannot fundamentally change these lighting factors

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