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视网膜机理启发的尺度空间卷积模板构造算法
New construction algorithm for convolution mask in scale space inspired by mechanism of retina
【摘要】 针对多尺度模板构造,论述形成人眼视觉尺度现象的两个因素并探讨了感受器与节细胞间的空间信息组合模型。基于人眼视觉机理启发,提出了一种新的多尺度滤波模板构造方法。该方法根据标准高斯曲线的采样率变化生成尺度空间模板族。经过时域、频域分析和滤波图例的实验,验证了该算法的普适性、规范性和有效性。与传统高斯尺度空间模板构造方法相比,具有简单、规范等特点。
【Abstract】 In view of the complexity of traditional mask constructing methods, the paper analyzes a spatial summation model between photoreceptor and ganglion cells in a retina. Secondly, a novel approach is proposed based on a mechanism of human vision model. Thirdly, a family of scale masks can be constructed only using different sampling rate of standard gauss curve. The paper also demonstrates some practical application of the filter in temporal and frequent domain. Compared with traditional constructing methods of Gauss scale space mask, this approach has the simple and normative characteristics.
【Key words】 Gauss scale space; Spatial summation; Retina; Mask construction;
- 【文献出处】 光电工程 ,Opto-Electronic Engineering , 编辑部邮箱 ,2006年02期
- 【分类号】TP391.41
- 【被引频次】5
- 【下载频次】115