Нечітка сегментація з використанням глибоких нейронних мереж

Abstract

This work delves into the usage of deep neural networks for fuzzy image segmentation to improve data analysis in various fields. Recognizing the limitations of conventional semantic segmentation methods, this research advocates for a nuanced approach that combines fuzzy logic principles with the computational power of deep neural networks. This hybrid methodology is designed to enhance the accuracy and adaptability of segmentation processes, making it particularly relevant for applications requiring precise image interpretation. Additionally, the proposed approach could significantly impact the future of image segmentation techniques.