基于同步自回归随机模型的纹理分类与分割

[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems Pub Date : 1992-06-14 DOI:10.1109/CBMS.1992.244923

Mengyang Liao, Jiamei Qin, Y. Tan

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引用次数: 6

摘要

采用同步自回归(SAR)模型对纹理进行描述。作者还提出了用最小二乘法估计六个SAR参数的方法。基于SAR模型和参数估计方法，对各种自然纹理图像和人体b扫描图像进行了分类和分割实验。取得了很好的效果。

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Texture classification and segmentation using simultaneous autoregressive random model

The simultaneous autoregressive (SAR) model is used to describe texture. The authors also propose using the least-squares method to estimate six SAR parameters. Based on the SAR model and the parameter estimation method, experiments have been done to classify and segment images of various natural textures and human B-scan images. Excellent results have been obtained.<>

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来源期刊

[1992] Proceedings Fifth Annual IEEE Symposium on Computer-Based Medical Systems

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