Gradient-Based Edge Detection of Songket Motifs

机译：Songket主题的基于梯度的边缘检测

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This paper discussed the effectiveness of several popular gradient-based edge detection techniques when applied on binary images of songket motifs. Five edge detector algorithms that is Roberts, Sobel, Prewitt, Laplacian of Gaussian and Canny are applied to twenty-five Malaysian traditional songket motifs. These scanned motif images are initially preprocessed to remove noise using several morphological operations. Other than noise removal, binarization of color images are also done to produce binary images. To determine the performance of the edge detectors, the results are evaluated by five human subjects based on several pre-conceived criteria.

机译：本文讨论了几种流行的基于梯度的边缘检测技术在songket图案的二进制图像上的有效性。五个边缘检测器算法分别是Roberts，Sobel，Prewitt，Gaussian的Laplacian和Canny被应用于25个马来西亚传统的Songket图案。最初，使用几种形态学操作对这些扫描的图案图像进行预处理，以去除噪声。除了去除噪声以外，还对彩色图像进行二值化以生成二进制图像。为了确定边缘检测器的性能，五名人类受试者根据几个预先设想的标准对结果进行了评估。

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《6th International Conference on Asian Digital Libraries, ICADL 2003; Dec 8-12, 2003; Kuala Lumpur, Malaysia》|2003年|p.456-467|共12页
会议地点 Kuala Lumpur(MY);Kuala Lumpur(MY)
作者
Nursuriati Jamil; Tengku Mohd Tengku Sembok;
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Faculty of Information Technology Quantitative Sciences, Universiti Teknologi MARA, Shah Alam 40450, Selangor, Malaysia;

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正文语种 eng
中图分类信息与知识传播;
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4. Gradient-Based Edge Detection of Songket Motifs [C] . Nursuriati Jamil, Tengku Mohd Tengku Sembok, Lecture Notes in Computer Science 2911 International Conference on Asian Digital Libraries . 2003

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Gradient-Based Edge Detection of Songket Motifs

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