image representation and classification based on data compression
With the development of the information technology, the number of different electronic information has been increased rapidly. In which, for enormous number of digital images the demand of automatic classification technology exceeded human processing capacity. As an automatic classification technique, representing and classifying text-transformed image based on data compression is proposed in this paper. In the step of transforming image into text, image is divided into segments which are replaced as characters. Then, the similarity between compressibility vectors is used in the classification step. In which, we focus on the compressibility of the text string. Finally, the effectivity of the proposed method is verified in our experiments.
image representation data compression evaluation image classification data mining