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图象视觉主分量的建模与提取

袁杰辉1, 王玉平2, 蔡元龙2(1.西安交通大学,西安 710049;2.北京大学视听信息处理国家实验室,北京 100871)

摘 要
边缘是图象的重要视觉信息.此文提出了新的视觉主分量模型(Visual Primary Component,VPC).采用具有快速算法的B样条小波变换,根据边缘的强度(变化幅度、宽度及孤立性)长度、均匀性等特性,设计了有效的VPC提取和编码算法,并给出了计算机模拟结果。
关键词
The Modeling and Extractionof Visual Primary Component in Images

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Abstract
Egdes are of very visual importance.In this paper a novel visual primary component(VPC)model is proposed.By using the B-spline wavelet transform which has the advantage of fast algorithm.and according to the edge information such as strength,length and integrity.an effective algorithm for the extraction and coding oI VPC is developed in the paper.Computer simulation results are given as well.
Keywords

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