Application of image processing in visualization of partial kitchen renovation
MAN Jingqi
YIN Deshuai
CUI Zhen
LIANG Xuliang
TAO Haifeng
Abstract:To study personalized demands for kitchen appliance replacements and upgrades,this paper propose an image-processing-based visualization system.By analyzing semantic information and structural features(e.g.,line textures)from user-submitted kitchen images,the system identifies spatial relationships between key components(e.g.,cabinets)and applies empirical kitchen layout principles to derive optimal appliance placement rules.Even with imprecise user input,it predicts ideal positions for target appliances(e.g.,dishwashers,refrigerators,ovens)and simulates virtual installations.The results are visualized as augmented images,significantly enhancing the convenience and realism of DIY kitchen design.
Keywords:Partial renovationImage processingSemantic segmentationLine segment detectionVisualization
Publication Date:2025-12-09
Online Publishing Date:2026-01-06(First online date of this platform, not the publication date of the document)
Pages:7( 615-621 )
Journal of Appliance Science & Technology

Journal of Appliance Science & Technology

ISSN:1672-0172
Year, Vol.(Issue):2025,(z1)