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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 color's 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.