Searching Images on the Basis of Color Homogeneous Objects and their Spatial Relationship

✍ Scribed by Youssef Chahir; Liming Chen

• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 937 KB
• Volume: 11
• Category: Article
• ISSN: 1047-3203
• DOI: 10.1006/jvci.1999.0428

✦ Synopsis

In this paper we introduce several techniques which characterize color homogeneous objects and their spatial relationships for a more precise and efficient contentbased image searching. We first present a region growing technique for efficient color homogeneous object segmentation, and then we extend the 2-D string to express spatial signatures for an accurate description of spatial relationships of objects within an image. Several optimizations, including dominant color histogram clustering, have also been proposed for an efficient search engine implementation. The experimental results that we have drawn so far show that our content-based image searching techniques give a high precision while maintaining a very good recall rate.