针对解决图像有效情感标注的问题，提出了一种多特征综合的图像模糊情感注释方法。该方法在讨论图像中的可视化特征（颜色、纹理和形状）与图像情感之间关系的基础上，选取和修正合适的算法提取颜色、纹理和形状特征，并将其作为模糊输入量；提出一种情感空间表示法量化情感；利用模糊集的近似推理理论完成对图像的情感注释。对100幅自然图像进行模糊情感标注，将其结果和20名自愿者对图像的情感感觉进行对比，实验结果表明，该方法能够有效地标识图像情感语义，证实了所采用的情感空间表示法具有一定的科学性，对于装璜、电子教学、图像检索和情感计算有一定的应用价值。

A method of affective annotation of images based on multi-feature is proposed in this paper. First, the corresponding relations between visual features (color, texture and shape) and emotion in an image are discussed, and the relations results are provided by orthogonal experiment, research and reference documents. Then, proper algorithms have been selected and modified for abstracting the features of color, texture and shape, by way of fuzzy inputs. Finally, an affective space of emotion quantification and an approach of fuzzy approximately reasoning theory is proposed to annotate affective. The experimental results are given to show that the proposed approach achieves a higher degree of precision, by asking 20 persons to estimate 100 images affective in contrast with the system. At the same time, it is approved that this proposed affective quantified space is provided with scientificity and practicability. It can be applied at decoration, electronics teaching, picture indexing and emotion calculation.