Method for correcting kinematic errors in microscopic vision system

Abstract

The invention discloses a method for correcting kinematic errors in a microscopic vision system, which is applied to the microscopic vision system. The method comprises the following steps of: calibrating a camera through a calibration board, establishing a camera model, tracking angular points of the calibration board, generating a tracking trajectory and an ideal revolving trajectory of the angular points through a least square method, then performing error evaluation, establishing an error correcting model, and correcting the microscopic image by virtue of the error correct model. The method provided by the invention can be used for establishing the error correct model for the microscopic vision system only through one-time error evaluation; and the model can be used for any microscopic movement video collected by the system, reducing the movement errors of the system and improving the three-dimensional reconstruction precision, thus being high in practicability.

Description

technical field [0001] The invention relates to the technical field of computer microscopic imaging, in particular to a motion error correction method in a microscopic vision system. Background technique [0002] With the development of signal processing science and computer technology, computer vision as a new field of artificial intelligence has gradually formed and has been greatly developed. Computer vision technology uses cameras instead of human eyes to obtain scene images and convert them into digital signals. Visually perceive and interpret the objective world instead of the human brain. Although it is not yet possible for computers, robots or other intelligent machines to have vision as efficient, flexible and general as humans and other creatures, vision theory and technology have developed rapidly since the 1950s. Helmets are aimed at electronic image stabilization on military vehicles, from image guidance on missiles to military target recognition, computer visi...

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Problems solved by technology

However, since the microscopic motion video in the microscopic vision system is collected by a high-power microscope and a CCD image sensor, there is an obvious movement position offset in the rotational motion of the tiny object, which greatly affects the later 3D reconstruction

[0004] At the same time, the current error correction methods in computer vision are all based on optical distortion errors. Generally, image correction is performed by establishing a corresponding optical distortion model. This type of correction method mainly focuses on the optical distortion generated during the image imaging process, but does not take microscopic The motion transformation relationship between sequence images ignores the image error caused by motion offset

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