In this paper, we propose a model for direct incorporation of image content into a (short-term) user profile based on correlations between visual words and adaptation of the similarity measure. The relationships between visual words at different contextual levels are explored. We introduce and compare various notions of correlation, which in general we will refer to as image-level and proximity...

Background: Determining the professional image perceptions of the first-year nursing students who have recently chosen the nursing profession is of great importance in delineating the profession profile. The present study aimed to determine the image perception of first-year nursing students and its related factors. Methods: This descriptive cross-sectional research was conducted in the Fall s...

HMAX ("Hierarchical Model and X") system is among the best machine vision approaches developed today, in many object recognition tasks [1]. HMAX decomposes an image into features which are passed to a classifier. These features each capture information about a small section of the input image but might not have information about the overall structure of the image if there is not a significant n...

objective(s): in spect, the sinogram contains scatter and lack of attenuated counts that degrade the reconstructed image quality and quantity. many techniques for attenuation and scatter correction have been proposed. an acceptable method of correction is to incorporate effects into an iterative statistical reconstruction. here, we propose new maximum likelihood expectation maximization (mlem) ...

SEAN HO: Profile Scale Spaces for Statistical Image Match in Bayesian Segmentation (Under the direction of Guido Gerig, Ph.D.) Object boundaries in images often exhibit a complex greylevel appearance, and modeling of that greylevel appearance is important in Bayesian segmentation. Traditional image match models such as gradient magnitude or static templates are insufficient to model complex and...

Perceptual watermarking should take full advantage of the results from human visual system (HVS) studies. Just noticeable distortion (JND) gives us a way to model the HVS accurately. In this paper, another very important aspect affecting human perception, visual saliency, is introduced to modulate JND model. Based on the visual saliency’s modulatory effect on JND model which incorporates visual...

To help the prospective observer take full advantage of the mid-IR capability of Gemini South, we characterize a key aspect of the mid-IR performance of the 8-meter telescope at Gemini-S, namely, the appearance and stability of its delivered mid-IR image profiles, with the goal of demonstrating that it can be used with a level of precision not used before. About 2000 images obtained with T-ReCS...

Anatomical objects often have complex and varying image appearance at different portions of the boundary; and it is frequently a challenge even to select appropriate scales at which to sample the image. This motivates Bayesian image-match models which are both multiscale and statistical. We present a novel image-match model for use in Bayesian segmentation, a multiscale extension of image profi...

Object boundaries in images often exhibit a complex greylevel appearance, and segmentation which accurately fits the target image requires a robust, multiscale statistical model of image appearance around the object. Objects whose appearance differs from region to region call for an image appearance model which is tied to the geometric representation of the object, after the fashion of Active A...