Description: 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.

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