In this paper, a procedure for estimating input parameters (thresholds) of the pyramid segmentation algorithm based on image total variation is proposed. Image segmentation is a crucial part of low and high level digital image analysis. Among others, pyramid segmentation algorithm depends on input parameters to be provided as an a-priori known input data. In the case when one single image is se...

In this paper, performances of various video fusion algorithms are compared by applying them to a set of infrared (IR) and visible band videos. The application of interest is area surveillance and the fusion process aims at integration of complementary information from multi-sensor inputs for enhancing the human perception of the monitored scene and to make the result suitable for further proce...

at the beginning of the present century, problems such as education of mentally retarded children, classification and placement of job applicants in industrial and military organizations, and students selection, gave impetus to the development of intelligence tests and the formulation of theories of intelligence. for many years factorial theories of intelligence dominated the field, but piaget&...

The pyramid computer was initially proposed for performing high-speed low-level image processing. However, its regular geometry can be adapted naturally to many other problems, providing effective solutions to problems more complex than those previously considered. We illustrate this by presenting pyramid computer solutions to problems involving component labeling, minimal spanning forests, nea...

The recently introduced Neural Abstraction Pyramid is a hierarchical neural architecture for image interpretation that is inspired by the principles of information processing found in the visual cortex. In this paper we present an unsupervised learning algorithm for the design of it's feed-forward connec-tivity that is based on Hebbian weight updates and competition. It yields a sequence of rep...

We propose a multi-scale elastic graph matching (MS-EGM) algorithm for face detection, in which the conventional EGM is improved with two simple image processing techniques of the Gabor wavelet-based pyramid and the weak Gabor feature elimination. It is expected to solve difficulties of the real-time process in the conventional EGM. The Gabor wavelet-based pyramid effectively reduces not only t...

This paper presents a novel appearancebased technique for topological robot localization and place recognition. A vocabulary of visual words is formed automatically, representing local features that frequently occur in the set of training images. Using the vocabulary, a spatial pyramid representation is built for each image by repeatedly subdividing it and computing histograms of visual words a...

We propose a new method for the intermodal registration of images using a criterion known as mutual information. Our main contribution is an optimizer that we specifically designed for this criterion. We show that this new optimizer is well adapted to a multiresolution approach because it typically converges in fewer criterion evaluations than other optimizers. We have built a multiresolution i...

Image Processing is the integral part of the surveillance system. Multifocus image fusion is a technique used to fuse multiple images captured with multiple focal lengths. In this paper we have studied the multi-resolution pyramid method used to integrate the multiple multifocus images together. This method is based on the down sampling and up sampling of the images and to apply various operati...