The article examines methods for assessing the structural stability of raster images. The study proposes a comprehensive approach, including texture analysis, color characteristics, and object shape analysis. The author presents experimental results demonstrating the effectiveness of the proposed method on various types of images. The findings obtained enable the optimization of processes for processing and storing graphical information, which is important for various fields, including medicine, geology, and computer vision.

Keywords: raster image, filtering, morphology, relative mean square error rrmse, OpenCV, Python