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Conventional approaches to image annotation tackle the problem based on the low-level visual information. Considering the importance of the information on the constrained interaction among the objects in a real world scene, contextual information has been utilized to recognize scene and object categories. In this paper, we propose a Bayesian approach to region-based image annotation, which integrates...
This paper presents a simple color based segmentation technique for faces. The proposed technique utilizes saliency maps and incorporates both top-down (data driven) and bottom-up saliency methods to generate the saliency map used in the segmentation phase. The top-down approach uses skin color data obtained from a training database to bias the skin color saliency map while the bottom-up approach...
Segmentation is an important step in medical image analysis. This process is crucial but challenging due to inhomogeneneity in intensity of images. In addition, the images are often corrupted by noise and with contrast edges. There are some approaches aiming to cope with this kind of images such as: region growing, region competition, watershed segmentation, global thresholding, and active contour...
Completely automated public turing tests to tell computers and humans apart (CAPTCHAs) are the automatic filters that are widely used these days to disallow any automated script that can perform the work of a human. CAPTCHAs are built in such a way that it is very difficult for any automated script to break them. In this paper, an approach to break text based CAPTCHAs has been proposed that first...
When the traditional CANNY algorithm is applied for edge detection, thresholds are needed to filter candidate edge points after non-maximal suppression. But at present, thresholds are set by experience and the optimal choice is obtained by repeated tests and comparisons. In addition, the choice of current thresholds does not take characteristics of uneven lighting images into account. In some special...
Perceptual information is quickly gaining importance in mesh representation, analysis and rendering. User studies, eye tracking and other techniques are able to provide ever more useful insights for many user-centric systems, which form the bulk of computer graphics applications. In this work we build upon the concept of Mesh Saliency - an automatic measure of visual importance for triangle meshes...
In this paper, we propose adopts a fast but effective block-based segmentation method to extract the regions of interest. Distributing bit allocation methods depends on the region/content-based, which directly control bit allocation among different regions so as to achieve better visual quality in the regions of interest. Our algorithm can effectively enhance the perceptual quality for the regions...
We propose a system for 4D reconstruction, visualization, measurements and quantification of cardiac parameters. The system is connected with a conventional 2D ultrasound machine via video signal. Images are acquired and registered with electromagnetic position sensor readings and ECG signal readings. Volume reconstruction and volume visualization of the heart is done after acquisition. 4D cardiac...
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