An in-depth systematic tongue color analysis system for medical applications is proposed. Using the tongue color gamut, tongue foreground pixels are first extracted and assigned to one of 12 colors representing this gamut. The ratio of each color for the entire image is calculated and forms a tongue color feature vector. Experimenting on a large dataset consisting of 143 Healthy and 902 Disease...

This paper describes an optimal approach for feature extraction and selection for classification of leaves based on Genetic Algorithm (GA). The selection of the optimal features subset and the classification has become an important methodology in the field of Leaf classification. The deterministic feature sequence is extracted from the leaf images using GA technique, and these extracted feature...

3DTV gets more and more popular. However, with the growing number of stereoscopic display devices, the 3D content for display is obviously insufficient. Current methods for generating single camera stereoscopic videos are based on creating a depth map. In this paper, an efficient image depth extraction method which utilizes the support vector machine(SVM) process is proposed. The label is estab...

one of the challenging issues in managing the existing large digital image libraries and databases is content based image retrieval (cbir). the accuracy of image retrieval methods in cbir is subject to effective extraction of image features such as color, texture, and shape. in this paper, we propose a new image retrieval method using contourlet transform coefficients to index texture of the im...

Pet robots are autonomous robots capable of exhibiting animal-like behaviors, including emotional ones, as they interact with people and objects surrounding them. As pet robots become more integrated into our lives, a more natural way of communicating with them will become necessary. Similarly, they will need to understand human gestures in order to perceive our intentions and communicate with ...

In this paper, we deal with the descriptor combination problem in image classification tasks. This problem refers to the definition of an appropriate combination of image content descriptors that characterize different visual properties, such as color, shape and texture. In this paper, we propose to model the descriptor combination as a swarm-based optimization problem, which finds out the set ...

This paper proposes a simple color image retrieval method based on multi resolution enhanced orthogonal polynomials model. In the proposed method, a set of orthogonal polynomials has been chosen and the model coefficients are reordered into multiresolution subband like structure. The subband coefficients are quantized into three levels. Then the weighted autocorrelogram is computed from the qua...

We address the problem of fusing colour information for face authentication. The performance of a face verification system in different colour spaces is experimentally studied first. The verification process is based on the normalised correlationmeasure within the LDA feature space. A sequential search approach which is in principle similar to the ”plus L and take away R” algorithm is then appl...

A new method to define a digital signature of a painting is presented. This signature is composed by a set of patches that are automatically selected as the images regions containing the most relevant information. The region selection is applied on a combination of saliency maps related to different features concerning intensity, color and visual saliency. We present the generation of the featu...