Small object semantic segmentation using modified U-Net with morphological loss|RISS 상세보기

목차 (Table of Contents)

List of Figures ................................................................................. iii
List of Tables .................................................................................. v
Abstract ........................................................................................... vi
Chapter 1. Introduction ..................................................................... 1
Chapter 2. Preliminaries ................................................................... 4

List of Figures ................................................................................. iii
List of Tables .................................................................................. v
Abstract ........................................................................................... vi
Chapter 1. Introduction ..................................................................... 1
Chapter 2. Preliminaries ................................................................... 4
2.1 Semantic Segmentation ................................................................. 4
2.2. Semantic Segmentation network architectures ................................. 6
2.2.1 SegNet ................................................................................... 6
2.2.2 U-Net .................................................................................... 8
2.2.3 Residual U-Net ........................................................................ 9
2.3.4 Attention U-Net ....................................................................... 10
2.3 Morphological image processing ..................................................... 12
2.3.1 Dilation & Erosion ................................................................... 13
2.3.2 Opening & Closing ................................................................... 15
Chapter 3. Methodology .................................................................... 17
3.1 Model architecture ........................................................................ 17
3.2 Residual learning ........................................................................ 20
3.3 Atrous convolution ....................................................................... 21
3.4 Atrous Spatial Pyramid Pooling (ASPP) .......................................... 23
3.5 White Top-Hat (WTH) image processing ....................................... 24
Chapter 4. Experiments ..................................................................... 27
4.1 Dataset ....................................................................................... 27
4.2 Copy & Pate Data Augmentation .................................................... 2
4.3 Weighted Loss Function ............................................................... 30
4.4 Assessment ................................................................................. 30
4.4.1 Intersection over Union (IoU) ..................................................... 30
4.4.2 Dice ........................................................................................ 31
4.5 Results ....................................................................................... 32
Chapter 5. Conclusion ....................................................................... 45
References ........................................................................................ 47
Abstract (Korean) ............................................................................. 5

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Small object semantic segmentation using modified U-Net with morphological loss

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