Ncut算法（Normalized cuts and image segmentation）
論文標題： Normalized cuts and image segmentation 作者： Jianbo Shi and Jitendra Malik 期刊：IEEE 算法： 該算法爲最小割的優化。 最小割： 構建無向圖G=(V, E)，w(i, j)爲i和j點之間相似度函數。 上述公式問題：下述情況中， 切出一個點的值比左
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相關文章
- 1. 子空間學習論文筆記01:Normalized Cuts and Image Segmentation
- 2. Normalized Cuts and Image Segmentation的運行代碼錯誤
- 3. Graph Cuts and Efficient N-D Image Segmentation
- 4. Normalized and Geometry-Aware Self-Attention Network for Image Captioning
- 5. [CS131] Lecture 9 Image Resizing and Segmentation
- 6. Image Processing28（Image Segmentation with Distance Transform and Watershed Algorithm )
- 7. 閱讀筆記----Graphcut Textures-Image and Video Synthesis Using Graph Cuts
- 8. Object Counting and Instance Segmentation with Image-level Supervision
- 9. image segmentation
- 10. Image saliency_detection / segmentation論文