Medical Images Segmentation Using Contouring Techniques
Deepika Deepika, Hardeep Singh, Gagandeep Kaur · 2009
III List of Figures IV List of Tables V Abbreviations VI CHAPTER1. Image Processing Basics 1-10 1.1 Definition & Terminology 1.1.1 Image Processing 01 1.1.2 Digital Image Processing 01 1.1.3 Image Segmentation 02 1.1.4 Application of Image Segmentation 03 1.1.5 Function of Segmentation 04-06 1.1.6 Medical Imaging. 06-10 1.1.6.1X-Ray 07 1.1.6.2Ultrasound 08 1.1.6.3 MRI 08 1.1.6.4 Tomography 10 1.1.6.5 Radiography 10 1.1.6.6 Fluoroscopy 10 CHAPTER 2. Image Segmentation : Techniques 11-30 2.1 Technique of Image Segmentation 11 2.1.1 Clustering Methods 11 vii 2.1.1.1 Advantages of K-means Clustering 12 2.1.1.2 Disadvantages of K-means Clustering 12 2.1.2 Edge Detection Methods 12-15 2.1.3 Region Growing Methods 15-26 2.1.3.1 Region Splitting 19 2.1.3.2 Region Merging 20 2.1.3.3 Basic Principal of Split & Merge 21 2.1.3.4 Region Growing 24 2.1.4 Thresholding 27 2.1.5 Histogram-Based Methods 28 2.1.6 Level Set Methods 28 2.1.7 Graph Partitioning Methods 29 2.1.8 Model based Segmentation 29 2.1.9 Multi-scale Segmentation 29 2.1.10 Neural Networks Segmentation 30 2.2Other Segmentation Methods 30 CHAPTER 3. Literature Work 3147 CHAPTER 4. Active Contours : Background 48-65 4.