| Abstract [eng] |
Image distortions may appear because of inappropriate position of the camera or because of an insufficient space movement while taking pictures of objects. These kinds of image distortions are called rotation and perspective distortions. The aim of the work is to investigate how the camera tilt meanings and distance to the object could help to restore the image distortions. To measure camera tilt angles (roll and pitch angles) the three axis analogical accelerometer is used, and to measure the distance - ultrasonic range finder. The measurements of designed camera tilt angles device data is used in order to restore rotated images. As an alternative method for setting roll angle, the “radon” transformation is used. The researches have showed that it is more useful to use the measurements of camera roll angles, because “radon” transformation is not capable to identify rotation angles of elaborate images. To set image perspective distortion rectification according to “pinhole” camera model, which is used in robot vision, the mathematical model was made. This model compared with image restoration according to four object corners method is more suitable for various forms of image distortions. To restore image MathWorks, Image Processing batch was used. The comparison between original and restorted image was found computing the two-dimensional correlation coefficient between image matrices of the same size. |
