An imaging method for retroreflector detection

Abstract

The invention provides an imaging method for retroreflector detection, including a light source module, a filter module, a gain adjustment module, an exposure adjustment module, an imaging sensor module, a target detection module, and a control parameter calculation module; The output image of the sensing module is analyzed and processed, the target area of ​​the retroreflector is extracted, and the contrast between the target area and the non-target area is calculated; if the contrast is lower than the threshold T, the parameter calculation module generates control parameters based on the principle of increasing the contrast, and the gain adjustment The module and the exposure adjustment module adjust the gain and exposure according to the control parameters; the target detection module analyzes and processes the output image of the imaging sensor module again until the contrast between the target area and the non-target area exceeds the threshold T, and outputs the imaging result and target detection result .

Description

technical field [0001] The invention relates to the fields of intelligent transportation and machine vision, in particular to an imaging method for retroreflector detection. Background technique [0002] Machine vision is the use of machines to replace human eyes to complete observation and judgment. It is often used in product inspections in mass production processes, especially in dangerous environments that are not suitable for humans and where human vision is difficult to satisfy. Therefore, machine vision has been widely used in Intelligent Transportation System (ITS), one of the largest systems engineering in today's information field. For example, license plate recognition technology, which is the core of vehicle automation management, traffic sign and road text recognition technology closely related to smart cars, driverless systems and assisted driving systems, etc., are typical applications of machine vision in ITS. [0003] In fact, artificial targets such as lic...

AI Technical Summary

Problems solved by technology

[0002] Machine vision is to use machines to replace human eyes to complete observation and judgment. It is often used in product inspection in mass production, especially in dangerous environments that are not suitable for humans and where human vision is difficult to satisfy.

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