Application Research on Wavelet Transform in Non-Photorealistic Image Recognition

来源 :2014年国际计算机科学与软件工程学术会议 | 被引量 : 0次 | 上传用户:ysli
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
  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.
其他文献
会议
目前,血管金属支架因具有很好的柔顺性、生物相容性和易生产加工的特性,已在医疗上治疗心血管狭窄方面广泛应用.用于制作金属支架的材料已开发研制了多种,例如医用不锈钢、钴合金、钛合金和镍钛合金等.随着金属支架的应用和研究发现,金属有较高的表面电位和吸附负性粒子,有致血栓的特性,因此对血管金属支架的改性研究一直不断.本论文采用热压烧结法制备SiC/不锈钢复合血管支架材料,并探索其优化工艺,选取最佳中位径D
In order to solve the difficulty of recognition in analog circuit fault diagnosis,under the two aspects of analog circuit fault feature extraction and fault pattern recognition,combined with their res