CBIR System using Color Moment and Color Auto-Correlogram with Block Truncation Coding
V Kokare Vinayak, Sonika Jindal · International Journal of Computer Applications · 2017
In content-based Image Retrieval (CBIR) application, a large amount of data is processed.Among various low-level features like color, shape and texture, color is an important feature and represented in the form of histogram.It is essential that features required to be coded in such a way that the storage space requirement is low and processing speed is high.In this paper, we propose a method for indexing of images in the large database with lossy compression technique known as Block Truncation Coding (BTC) along with two different color feature extraction methods -Color Moment and Color Auto-correlogram.Block truncation coding divided the original image into multiple non-overlapping blocks and then retrieve the required features.The proposed method performs better.