Content based image retrieval using fuzzy Texton and Shearlet transform

Abstract

This paper presents a novel and an efficient content based image retrieval technique based on content color, texture and shape, which are primary low level features to describe image. The proposed method uses fuzzy texton method to extract texture features and discrete shearlet transform for shape features in addition to color features. Fuzzy Texton is a way to describe the texture properties in image analysis. Shearlet transforms can analyze signals defined not only at various orientations but also at multiple scales. The test results emerged more efficient than all the predecessor peer techniques like Texton Co-occurrence Matrix (TCM), Texton Multi Histogram (TMH) and Texels of Fuzzy Texton (TT).