Modern approaches to image segmentation in agriculture

E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 613, P. 03003 - 03003

Published: Jan. 1, 2025

Image segmentation is one of the key areas in computer vision, as it allows for identification and isolation distinct regions, objects or structures within an image, which critical subsequent analysis processing visual data. This article discusses fundamental principles, capabilities limitations various methods. Special emphasis placed on use Python programming language, which, thanks to its rich ecosystem libraries such OpenCV, TensorFlow, PyTorch, scikit-image, has become standard tool development implementation vision algorithms. The prospects further technologies are discussed context increasing data volumes requirements accuracy efficiency analysis. In article, practical examples applying models agriculture also presented.

Language: Английский

Research on Innovative Design of Intangible Cultural Heritage Integrating Traditional Handicrafts and Modern Information Technology

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract The current inheritance of traditional handicrafts has ushered in unprecedented historical opportunities and challenges. This paper explains the process designing handicraft products that are not heritage-based by describing products. Using image processing technology, collected images pre-processed, after extracting features based on a clustering algorithm, reorganized, deduced, fused using shape grammar to achieve purpose NRH’s innovative design. Kano model is used analyze demand for non-heritage innovation design grammar. top 5 user items importance NRH product durability (0.7982) > utility (0.7906) ethnic difference (0.7887) regional culture (0.7223) personalized (0.7507). combination information technology enables precise positioning entire

Language: Английский