A new filtering approach designed to eliminate impulsive noise in color images, while preserving fine image details is presented in this paper. The computational complexity of the ...
Bogdan Smolka, Marek Szczepanski, Kostas N. Platan...
This paper describes a technique for text segmentation of machine printed Gurmukhi script documents. Research in the field of segmentation of Gurmukhi script faces major problems m...
Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes, i...
Log-polar imaging is an important topic in space-variant active vision, and facilitates some visual tasks. Translation estimation, though essential for active tracking, is more diļ...
This paper is a continuation to the work in [1], in which a new algorithm for skeletonization is introduced. The algorithm given there and implemented for script and text is applie...
In this paper, using hypergraph theory, we introduce an image model called Adaptive Image Neighborhood Hypergraph (AINH). From this model we propose a combinatorial deļ¬nition of ...
Abstract. Interaction increases flexibility of segmentation but it leads to undesirable behaviour of an algorithm if knowledge being requested is inappropriate. In region growing, ...
Many diļ¬erent methods for tracking humans were proposed in the past several years, but only a few authors examined the accuracy of the proposed systems. As the accuracy analysis ...
Abstract. The "seeded region growing" SRG is a segmentation technique which performs an image segmentation with respect to a set of initial points, known as seeds. Give...