Effective Image Retrieval System Using Dot-Diffused Block Truncation Coding Features
AbstractA new approach to derive the image feature descriptor from the dot-diffused block truncation coding < Final Year Projects 2016 > DDBTC compressed data stream. The image feature descriptor is simply constructed from two DDBTC representative color quantizers and its corresponding bitmap image. The color histogram feature (CHF) derived from two color quantizers represents the color distribution and image contrast, while the bit pattern feature (BPF) constructed from the bitmap image characterizes the image edges and textural information. The similarity between two images can be easily measured from their CHF and BPF values using a speciﬁc distance metric computation. Experimental results demonstrate the superiority of the proposed feature descriptor compared to the former existing schemes in image retrieval task under natural and textural images.
sales on Site11,021