When observing a dynamic world, the size of image structures may vary over time. This article emphasizes the need for including explicit mechanisms for automatic scale selection in feature tracking algorithms in order to: (i) adapt the local scale of processing to the local image structure, and (ii) adapt to the size variations that may occur over time. The problems of corner detection and blob...

In this paper, a novel saliency theory based RR-IQA metric is introduced. As the human visual system is sensitive to the salient region, evaluating the image quality based on the salient region could increase the accuracy of the algorithm. In order to extract the salient regions, we use blob decomposition (BD) tool as a texture component descriptor. A new method for blob decomposition is propos...

Abstract   In this paper, we propose a new method for kernel based object tracking which tracks the complete non rigid object. Definition the union image blob and mapping it to a new representation which we named as potential pixels matrix are the main part of tracking algorithm. The union image blob is constructed by expanding the previous object region based on the histogram feature. The pote...

It has been shown that breast density and parenchymal patterns are significant indicators in mammographic risk assessment. In addition, studies have shown that the sensitivity of computer aided tools decreases significantly with increase in breast density. As such, mammographic density estimation and classification plays an important role in CAD systems. In this paper, we present the classifica...

This paper describes a new head detection method for people counting in crowded environments from a single camera. Our method adopts skeleton graph to distinguish person among people in crowded enviroments. The usage of skeleton graph is the main difference between this method and the traditional ones. Firstly, the skeleton graphs are calculated for each selected blob in the scene after foregro...

Optical character recognition systems have been effectively developed for the recognition of printed characters. Optical character recognition is an awesome computer vision technique with various applications ranging from saving real time scripts digitally and deriving context based intelligence using natural language processing from the texts. One such application is the recognition of machine...