Proposed image quality assessment method improves recognition in computer vision systems for small objects.
Since small-sized objects are expressed in the image with very few pixels and are located at a fairly large distance from the camera, their recognition by computer vision-supported systems becomes difficult. At this time, the issue of obtaining high-quality images of them becomes relevant. The object study is the camera and the images obtained from it. Existing methods have been studied and a new approach that can work faster to obtain high-quality images has been proposed. The subject of the research is a method for assessing the quality of the image and controlling the focus of the camera using existing tools in order to obtain a high-quality image. The purpose of the research is to create an algorithm for evaluating the image and controlling the camera device in order to obtain a high-quality image for a detection system supported by computer vision for small-sized objects. Improving the quality of the image with the proposed methods creates important conditions for the effective operation of recognition systems operating in real-time. As a result of the research, the method for assessing the image in terms of quality and the camera control algorithm for a high-quality image of the object is proposed. The rationale for the proposed main methods of research is given, the results of experimental studies of the proposed methods are presented, and the validity of the adopted theoretical conclusions is confirmed.
No takes yet. Share an insight, caveat, or question.
Hashimov et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: