会议专题

The Research of Architectural Color Evaluation Based on Image Processing

In order to improve the efficiency of the analysis of building color, and enhance the objectivity of evaluation, we propose a novel method to analyze and evaluate the color of urban architecture. First, a developed K-means clustering algorithm is adopted, which classifies the surface color of a building after extracting the building from its background environments. Then we set up an evaluation model formula based on the quantization of colors three elements in the chromatology. Finally, we analyze the composition of building color and give the evaluation results based on image processing technology. The experimental results show that the new method has significant advantage over traditional methods in the architectural color analysis, which provides a convenient and efficient foundation to the work of urban planning.

chromatology chromatic aberration K-means color quantization color evaluation

Tian Tian Xiujin Wang Yu Bai

School of Computer Science and Technology Tianjin University Tianjin 300072, China

国际会议

2011 Fourth International Symposium on Computational Interlligence and Design 第四届计算智能与设计国际会议 ISCID 2011

杭州

英文

290-293

2011-10-28(万方平台首次上网日期,不代表论文的发表时间)