THE METHOD AND TOOLS DEVELOPMENT FOR WEB-CAMERAS COLOR CORRECTION IN BINOCULAR VISION SYSTEMS

Abstract

Subject of study. The article proposes new methods and tools for color correction of web-cameras in stereo vision systems in order to improve the quality of their work. The goal is a comparative analysis of well-known color correction methods quality Subject of study. The article proposes new methods and tools for color correction of web-cameras in stereo vision systems in order to improve the quality of their work. The goal is a comparative analysis of well-known color correction methods quality indicators and the development of a new methodology and working algorithms for the joint procedure for color correction and rectification of left and right cameras video frames. Objectives: The task was to carry out a theoretical analysis of well-known color correction algorithms quality indicators, to develop new working algorithms, write algorithms program code using Python with needed OpenCV functions. Conduct experimental study of these algorithms. Evaluate stereo system performance in a laboratory, and test the reliability of the results obtained using statistical analysis methods. Methods used: Comparative analysis of known methods and algorithms by statistical modeling, synthesis of new algorithms and evaluation their work effectiveness by conducting laboratory field tests. The results obtained: comparative analysis of the performance of known color correction methods of stereo cameras was carried out, new more efficient algorithms were proposed for solving this problem. Findings. Scientific novelty of the results: new algorithms for correcting the color balance of webcams used in stereoscopic vision systems have been created, featuring high color correction accuracy and working in real time using OpenCV library functions in Python software environment.