Image processing based distance measurement with Image Meter
Özet
Purpose: It is aimed to accurately detect the distance of the target object to the cameras at close and long distances with an image meter.Theory and Methods: For measurement, the target object must be separated from the background. For this purpose, segmentation is made from image processing techniques. One of the Stereo cameras takes a reference image, while the other is connected to an electro-mechanical system that can move both Angular and linear. In order to fully match the target object images to the camera images, the moving camera is moved precisely linear and angular. In this way, the angle and linear distance, which minimize the distance between the image axes, are used as parameters used to calculate the distance of the target object to the cameras. Mechanical and software errors that may occur in the system have been added to the distance detection functionResults: In our study, a method was developed that is not affected by the area covered by the Pixel. This method contains an electromechanical system and is called Image-Meter. Theoretical calculations of the system were made with developed equations. As a result of calculations, the Maximum error was determined as 0.17%. During the implementation phase of the designed prototype, errors that may occur due to hardware and software components are predicted. It is believed that the Maximum error rate of the system developed together with these errors will be less than 1%.Conclusion: The missing aspects of stereo and mono camera distance measurement systems were investigated for the image processing based distance measurement device that is planned to be developed. a new method has been developed to eliminate parameters that affect the measurement result. A prototype was designed to implement the developed method. theoretical calculations have been completed for this measuring device called image-meter. In theoretical calculations, it was determined that the accuracy of the image-meter was below 0.2%.
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https://doi.org/10.17341/gazimmfd.979121https://search.trdizin.gov.tr/yayin/detay/1158792
https://hdl.handle.net/20.500.12450/2533