In our method for tracking objects, appearance features are smoothed by robust and adaptive Kalman filters, one to each pixel, making the method robust against occlusions. While the existing methods use only intensity to model the object appearance, our paper concentrates on multivalue features. Specifically, one option is to use photometric invariant color features, making the method robust to...

Geodesic invariant feature have been originally proposed to build a new local feature descriptor invariant not only to affine transformations, but also to general deformations. The aim of this paper is to investigate the possible improvements given by the use of color information in this kind of descriptor. We introduced color information both in geodesic feature construction and description. A...

What is presented in this paper is our work in the area of image organization and retrieval in Image Databases using global color features and spatial color distribution of images. We suggest extending the use of image histograms to characterize the global and local color properties of an image and to preserve its intrinsic geometric information. We have introduced an algorithm for image organi...

For the modeling of materials, the mapping of image features onto a codebook of feature representatives receives extensive treatment. For reason of their generality and simplicity, filterbank outputs are commonly used as features. The MR8 filterbank of Varma and Zisserman is performing well in a recent evaluation. In this paper, we construct color invariant filter sets from the original MR8 fil...

In this paper, an image approximation method is proposed. The method approximates the given image by preserving image's average color and color contrast. The experimental results show that the proposed method usually yields satisfactory results.

Content based image retrieval (CBIR) systems are used for automatic indexing, searching, retrieving and browsing of image databases. Color is one of the important features used in CBIR systems. An experimental comparison of a number of different color descriptors for content-based image retrieval is presented in this paper. Color histograms, color moments and color coherent vector (CCV) are con...

In these days people are interested in using digital images. So the size of the image database is increasing enormously. Lot of interest is paid to find images in the database. There is a great need for developing an efficient technique for finding the images. In order to find an image, image has to be represented with certain features. Color, texture and shape are three important visual featur...

Automatic analysis of cartographic images is an important task for the development of intelligent geographical information systems. Both geometrical features and color are powerful cues to extract spatial semantic objects. This contributiondeals with the use of the various color pieces of information for partitioning color images and for extracting geometrical-color features with mathematical m...

With the development of the Internet, and the availability of image capturing devices such as digital cameras, image scanners, the size of digital image collection is increasing rapidly. Efficient image searching, browsing and retrieval tools are required by users from various domains, including remote sensing, fashion, crime prevention, publishing, medicine, architecture, etc. For this purpose...