Color Image Indexing Using Binay Truncation Coding
IEEE Transactions on Image Processing, Vol. 12, No. 1, January 2003
Language: Java, VB.NET
Project modules:
• Image File I/O
• Image Block Features Extraction
• Block Co-occurrence Analysis
• Image Classification
• Results and Analysis
Abstract:
This paper presents a new application of a well studied image coding technique, namely block truncation coding (BTC). It is shown that BTC can not only be used for compressing color images, it can also be conveniently used for content-based image retrieval from image databases. From the BTC compressed stream (without performing decoding), we derive two image content description features, one termed the block color co-occurrence matrix (BCCM) and the other block pattern histogram (BPH).We use BCCM and BPH to compute the similarity measures of images for content-based image retrieval applications. Experimental results are presented which demonstrate that BCCM and BPH are comparable to similar state of the art techniques.