TRIM: Triangulating Image

版本 1.0.2.1 (1.7 MB) 作者: Gary Choi
Generate a content-aware coarse triangulation of any image
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更新时间 2020/2/29

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This code triangulates any given image using the TRIM algorithm in [1], which aims at producing a content-aware coarse triangulation image representation. It can be used for image compression, simplification, registration as well as artistic design.
Any comments and suggestions are welcome.

If you use this code in your own work, please cite the following paper:
[1] C. P. Yung, G. P. T. Choi, K. Chen and L. M. Lui,
"Efficient feature-based image registration by mapping sparsified surfaces."
Journal of Visual Communication and Image Representation, 55, pp. 561-571, 2018.

For more information, please visit: https://scholar.harvard.edu/choi

引用格式

C. P. Yung, G. P. T. Choi, K. Chen and L. M. Lui, "Efficient feature-based image registration by mapping sparsified surfaces." Journal of Visual Communication and Image Representation, 55, pp. 561-571, 2018.

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创建方式 R2018a
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致谢

参考作品: Segmentation, export_fig, imgaussian

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版本 已发布 发行说明
1.0.2.1

- Updated citation info.

1.0.2

Edited the imtriangulate function.

1.0.1

Slightly modified the description.

1.0.0