Comparative study of optical-digital vs all-digital techniques in textural pattern recognition.
Comparative study of optical-digital vs all-digital techniques in textural pattern recognition.
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纹理模式识别中光学数字技术与全数字技术的比较研究。
DOI：
10.1364/ao.19.002496
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发表时间：
1980
期刊：
影响因子：
1.9
通讯作者：
Henry Stark
中科院分区：
文献类型：
--
作者：
R. O'toole;Henry Stark
在本研究中，我们研究了光学数字技术和全数字技术在纹理模式识别中的应用，并对两种方法进行了比较。光数字方案利用光数字计算机生成基于二维辐照光谱的纹理测量值。全数字方案产生基于灰调空间依赖矩阵的测量值。在这两种情况下，采用了两种特征提取算法：Hotelling跟踪方法和Foley-Sammon判别向量分析。使用k近邻决策规则完成分类。在四种纹理模式的分类实验中，对这些技术的性能进行了评价。结果表明，对于所选择的纹理，两种方法都具有较高的分类精度，其中光学数字方法的分类精度略高。
In this study we examine the application of both optical-digital and all-digital techniques in textural pattern recognition and make a comparison of the two approaches. The optical-digital scheme makes use of an optical-digital computer to generate textural measurements based on the 2-D irradiance spectrum. The all-digital scheme produces measurements based on gray-tone spatial-dependence matrices. In both cases two feature extraction algorithms were employed: the Hotelling trace method and the Foley-Sammon discriminant vector analysis. Classification was accomplished using the k-nearest neighbor decision rule. The performance of these techniques was evaluated in an experiment involving the classification of four texture patterns. The results show that, for the textures chosen, both approaches give high classification accuracy with the optical-digital method performing somewhat better.