Access Restriction

Author Qiu, Image Indexing ♦ Qiu, G. ♦ Sudirman, S.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Binary Color Vision Framework ♦ Binary Image ♦ Bit Plane ♦ Predefined Visual Feature ♦ Image Content ♦ Image Content Descriptor ♦ Geometric Property ♦ Color Image ♦ Image Database ♦ Co-occurrence Statistic ♦ Content-based Retrieval ♦ Connected Region Size ♦ 2-d Array ♦ Binary Vision Algorithm ♦ Visual Feature Plane ♦ Simple Numerical Metric Measure ♦ Similar Method ♦ Image Similarity ♦ Effective Method ♦ Geometry Moment ♦ Contentbased Color Image Indexing ♦ Binary Region ♦ Color Blob Size Table ♦ Region Segment
Abstract We have developed an elegant and effective method for contentbased color image indexing and retrieval. A color image is first represented as a sequence of binary images each captures the presence or absence of a predefined visual feature, such as color. Binary vision algorithms are then used to analyze the geometric properties of the bit planes. The size, shape, or geometry moment of each connected binary region on the visual feature planes can then be computed to characterize the image content. In this paper, we introduce the color blob size table (C bst ) as an image content descriptor. C bst is a 2-D array that captures the co-occurrence statistics of connected regions sizes and their colors. Unlike other similar methods in the literature, C bst enables the employment of simple numerical metric measures to compare image similarity based on the properties of region segments. We will demonstrate the effectiveness of the method through its application to content-based retrieval from image database.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Publisher Date 2002-01-01