One of the serious issues in communication between people is hiding information from the others, and the best way for this, is to deceive them. Since nowadays face images are mostly used in three dimensional format, in this paper we are going to steganography 3-D face images and detecting which by curious people will be impossible. As in detecting face only, its texture is important, we separat...

LEARNING TO RECOONIZE VISUAL CONCEPTS: DEVELOPMENf AND IMPLEMENTATION OF A METIIOD FOR TEXTURE CONCEPTS ACQUISITION TIIROUGH INDUCTIVE LEARNING JERZY WOJCIECH BALA, Ph.D. George Mason University, May 1993 Dissertation Director: Dr. Ryszard S. Michalski The goal of this research is to explore the application of symbolic learning methods to problems of computer vision. The research presented in t...

An implementation of Gabor filters for description of texture and subsequent texture segmentation has been described. The filters are applied in a new method for the defect detection of dissimilarities of fabric during it’s quality inspection process. Design of Gabor filter is presented in frequency domain. Filtering was realized in software and it has been used together with dedicated inspection.

For realistic virtual model generation two main problems have to be solved: to achieve the required geometric accuracy in object description and to obtain the highest reachable texture similarity. Recently digital close-range photogrammetry offers precise and flexible means for the first problem solution accurate geometric 3D reconstruction. Besides images acquired for 3D reconstruction can be ...

This paper deals with the classification of objects described by planar curves in an image. Invariance to deformation is an important aspect of shape representation and two representations are described with different degrees of such invariance. One of these is a new statistical method for shape description exhibiting a large degree of such invariance. Using scale-space to describe shape statis...

This talk presents our researches on the application of mathematical morphology, which is a mathematical framework of quatitative image manipulations, to the characterization and manipulation of textures. A texture is considered as a repetitive arrangement of homothetic magnifications of a small object called primitive. The shape and arrangement of the primitive are estimated by a method based ...

The quaternion representation of color is shown here to be effective in the context of segmenting color images into regions of similar color texture. The advantage of using quaternion arithmetic is that a color can be represented and analyzed as a single entity. A lowdimensional basis for the color textures found in a given image is derived via quaternion principal component analysis (QPCA) of ...

The aim of this paper is to present a study where we evaluate the optimal inclusion of the texture orientation in the classification process. In this paper the orientation for each pixel in the image is extracted using the partial derivatives of the Gaussian function and the main focus of our work is centred on the evaluation of the local dominant orientation (which is calculated by combining t...

The quaternion representation of colour is shown to be effective in the context of colour texture region segmentation in digital colour images. The advantage of using quaternion arithmetic is that a colour can be represented and analyzed as a single entity. A basis for the colour textures occurring in a given image is derived via quaternion principal component analysis of a training set of colo...