A digital focusing method of imaging instrument based on light field imaging technology

Abstract

A digital focusing method of imaging instrument based on light field imaging technology, which includes constructing an optical field imaging system; obtaining the original four-dimensional light field image; forming a two-dimensional light field image; obtaining the definition evaluation value; the image distances of each clear imaging plane are obtained; and obtaining the geometrical size of thecorresponding measured sample. Compared with the prior art, the digital focusing method of the imager based on the light field imaging technology provided by the invention has the following advantages: a) the method of the invention is simple and easy to operate, does not need to add other hardware facilities, makes full use of the structural characteristics of the optical field camera, and realizes high-definition imaging of the optical field camera through processing the original optical field data; B) the method has the advantage of simple system, clear technical principle, no movement ofmechanical parts in the process, reliable precision, wide application range and low cost.

Description

technical field [0001] The invention belongs to the technical field of image vision measurement, including computer vision, light field imaging, image processing and other technical categories, and in particular relates to a digital focusing method of an image instrument based on light field imaging technology. Background technique [0002] In computer vision research, image depth estimation plays an important role in object tracking, scene understanding and 3D reconstruction, and robotics. Motion information, texture gradients, disparity information, and focus information in images can all serve as important cues for depth estimation. In the traditional sense, the mechanical focusing of the imager will cause movement errors of mechanical parts. The existing autofocus methods have problems such as low focusing accuracy and complex focusing. Therefore, how to process the depth estimation of the sample image to quickly complete the focusing process and reduce the It is very i...

AI Technical Summary

Problems solved by technology

In the traditional sense, the mechanical focusing of the imager will cause movement errors of mechanical parts. The existing autofocus methods have problems such as low focusing accuracy and complex focusing. Therefore, how to process the depth estimation of the sample image to quickly complete the focusing process and reduce the It is very important to improve the focus accuracy

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