Application Research on Wavelet Transform in Non-Photorealistic Image Recognition

摘要：

　　Non-photorealistic rendering (NPR) as an abstract image generation technology has gradually become a research focus,and the identification of non-photorealistic image become an important part of NPR.This paper takes paper-cut for example and study non-photorealistic image recognition.Methods based on wavelet transform were proposed to extract feature vector and the contrast test demonstrate effective performance.

关键词： Non-Photorealistic Rendering Feature Extraction Wavelet Transform

作者: Guo-Xiang LI

作者单位: School of International Education,Guangxi University of Finance and Economic,China

会议类型: 国内会议

会议名称: 2014年国际计算机科学与软件工程学术会议

会议地点: 杭州

会议语种:英文

页码: 1-6

在线出版日期: 2014-10-18（万方平台首次上网日期，不代表论文的发表时间）