Intelligent Image Databases

1. Introduction. - 1. 1 The Need for Intelligent Image Databases. - 1. 2 Significance of Feature Space Selection. - 1. 3 Towards Advanced Image Retrieval. - 1. 4 Organization of the Book. - 2. Survey Of Contemporary Content-Based Image Retrieval Systems. - 2. 1 Systems Using Edge Points. - 2. 2 Systems Using Color Histograms. - 2. 3 Systems Using Textures. - 2. 4 Summary. - 2. 5 Systems Using Object Regions. - 2. 6 Systems Using Other Features. - 2. 7 Comparison of the Image Features. - 3. Indexing Structures For Image Databases. - 3. 1 KDB-Tree. - 3. 2 R-Tree. - 3. 3 R*-Tree. - 3. 4 SS-Tree. - 3. 5 SR-Tree. - 3. 6 Comparisons. - 4. Building An Advanced Region-Based Image Retrieval System (ARBIRS). - 4. 1 The System Goal. - 4. 2 Feature Space Selection. - 4. 3 The Challenges. - 4. 4 The System Outline. - 5. The Texture Detection Subsystem. - 5. 1 Separating Textures From Non-Texture Regions. - 5. 2 Examples of The Texture Detection. - 6. The Region-Based Subsystem. - 6. 1 Segmenting Images Under Non-Uniform Illumination. - 6. 2 Segmentation Using Human Perceptual Dimensions. - 6. 3 The Mathematical Model. - 6. 4 Outline of the Segmentation Method. - 6. 5 Segmenting Chromatic Colors. - 6. 6 Segmenting Achromatic Colors. - 6. 7 Detection of the Linear Chroma-Value Correlation. - 6. 8 Experimental Results. - 6. 9 The Indexing Scheme. - 7. The Histogram-Based Subsystem. - 7. 1 Problems of Traditional Histograms. - 7. 2 Color Histogram Creation. - 7. 3 The Indexing Scheme Based on the Color Histogram. - 8. The Database Query Subsystem. - 8. 1 Database Query by Simple Regions. - 8. 2 Database Query by Texture Regions. - 8. 3 Database Query by Compound Regions. - 8. 4 The User Interface. - 9. Experimental Evaluations and Discussions. - 9. 1 Evaluations. - 9. 2 Discussions. - References. Language: English