IMAGE DENOISING METHODS FOR IMPROVING OBJECT RECOGNITION ACCURACY IN AUTOMATED WASTE SORTING SYSTEMS
Abstract. Automated object recognition systems are widely used in industry, robotics, and environmental monitoring, with intelligent waste sorting being one of the most promising application areas. Although the quality of image preprocessing – particularly the denoising stage – directly influences recognition accuracy, the literature lacks a systematic comparative analysis of denoising techniques specifically in the […]