Abstract:
This paper proposes a method of emotional classification of the house-designing image based on color feature. A relationship model is built between the color features and emotional semantics based on the perceptual understanding of color. It uses the house- designing image as data, and the classification of house-designing image is performed by the extraction of global and local color feature combine with the classifier based on the Radial Basis Function Neural Network(RBFNN). Experimental results show the availability of the classification.
Key words:
color feature,
house-designing image,
Radial Basis Function Neural Network(RBFNN),
image classification,
emotional semantics
摘要: 提出一种基于颜色特征的家居设计图情感分类方法。通过人们对色彩的感知和理解,建立图像颜色特征与情感语义的关系模型。在此基础上,以家居设计图为数据源,提取图像的全局和局部颜色特征,结合基于RBF网络的分类器完成对家居设计图像的风格分类。实验结果证明了该方法的有效性。
关键词:
颜色特征,
家居设计图,
径向基函数神经网络,
图像分类,
情感语义
CLC Number:
LI Pin-Ting, DAN Ti-Xiang, DAI Huang-Guan. Classification of House-designing Image Based on Color Feature[J]. Computer Engineering, 2011, 37(16): 224-226.
李娉婷, 石跃祥, 戴皇冠. 基于颜色特征的家居设计图分类[J]. 计算机工程, 2011, 37(16): 224-226.