The Central Organization for Standardization and Quality Control in the Ministry of Planning granted a patent to Assist. Prof. Dr. Sinan Majid Abdel-Sattar in the Department of Electrical Engineering, University of Technology, in cooperation with a group of university students on the design applied by them on a new method for evaluating and reducing the distortion of cameras.
Within the classification of G03B5 / 02, G03B43 / 00, a new automatic selection algorithm was developed as the best model for radial distortion of four different focal length lenses using statistical information standards, reversing the selected model using accurate inverse formulas and obtaining the least value of distortion parameters. The new method requires the use of the chessboard pattern for testing, the camera is directed to the test pattern, five images are taken from different locations and calibrated using Chang's calibration method to present the calibration spreadsheet and apply it in statistical methods.