Efficient colour texture image retrieval by combination of colour and texture features in wavelet domain

Efficient colour texture image retrieval by combination of colour and texture features in wavelet domain

Digital Image Retrieval Using Combination of Texture, Shape and Colour Features

A robust method is proposed in this paper to retrieve digital images using combination of color, texture and shape features. The proposed method consists of three stages. Shape detection is done based on TopHat transform to detect and crop object part of the image in the first stage. The second is included a texture feature extraction algorithm using color local binary patterns (CLBP) and local...

Image Retrieval by Colour and Texture Using Chromaticity Histograms and Wavelet Frames

In this paper the combination of texture and colour features is used for image classi cation. Texture features are extracted using the Discrete Wavelet Frame analysis. 2-D or 1-D histograms of the CIE Lab chromaticity coordinates are used as colour features. The 1-D histograms of the a; b coordinates were also modeled according to the generalized Gaussian distribution. The similarity measure de...

Medical Image Retrieval Using Texture, Locality and Colour

We describe our experiments for the Image CLEF medical retrieval task. Our efforts were focused on the initial visual search. A content based approach was followed. We used texture, localisation and colour features that have been proven by previous experiments. The images in the collection had specific characteristics. Medical images have a formulaic composition for each modality and anatomic r...

Image Retrieval Based on Colour and Nonlinear Texture Invariants

Among other techniques especially methods working fully automatically are of interest for image retrieval from large databases. Colour histograms proved to be successful in automatic image retrieval, however, their drawback is that all structural information is lost. Therefore we extend the colour histogram approach by features that take into account the relations within a local pixel neighbour...