Abstract
Guide signs provide us with a remarkable amount of information about our surroundings and enables us to interact efficiently with the environment. In this paper, guidance system in a difined city scenario are explored in the image domain employing both color and gradient features. Specifically, color impression is exploited statistically based on a color difference model fusing human visual sensation and psychological perception of the designers and the guide-users. Furthermore, a gradient feature followed by a dimensionality reduction process is proposed for the deep feature extraction of signs. Our two sign features are complimentary, also of great potential for both designers and users to accomplish interaction with environment efficiently. Experiments are illustrated and the results validate our approach.
Highlights
Guidance system building [1] is an indispensable aspectT for the development of urban construction as its great importance invision perception and communication
A tween imaged signs with underlying meanings and human paper, guide signs analysis system are discussed in the area of graphical processing and visual design for both users and designers of signs, which indicates a complete framework for city guidance and even visual interaction
Our contribution covers two facets: A superior graphical analysis for guide sign images using fundamental gradient features and a stastical analysis based on the color features
Summary
T for the development of urban construction as its great importance invision perception and communication. R purpose of guidance system design is to embody the visualization, internationalization and humanity of interaction be-. A tween imaged signs with underlying meanings and human paper, guide signs analysis system are discussed in the area of graphical processing and visual design for both users and designers of signs, which indicates a complete framework for city guidance and even visual interaction. Our contribution covers two facets: A superior graphical analysis for guide sign images using fundamental gradient features and a stastical analysis based on the color features. E design aimed at utilizing images to construct visual language. R of identification, extraction and effectively recognition of the city oriented color via the visual image thinking cognition or. Rare widely studied in the domain image processing and the gradient feature is analyzed and processed under a unified design system for evaluation of the guide signs in images. Experiments are given for the practical demonstration of our system
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