508,074 research outputs found

    Image enhancement using fuzzy intensity measure and adaptive clipping histogram equalization

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    Image enhancement aims at processing an input image so that the visual content of the output image is more pleasing or more useful for certain applications. Although histogram equalization is widely used in image enhancement due to its simplicity and effectiveness, it changes the mean brightness of the enhanced image and introduces a high level of noise and distortion. To address these problems, this paper proposes image enhancement using fuzzy intensity measure and adaptive clipping histogram equalization (FIMHE). FIMHE uses fuzzy intensity measure to first segment the histogram of the original image, and then clip the histogram adaptively in order to prevent excessive image enhancement. Experiments on the Berkeley database and CVF-UGR-Image database show that FIMHE outperforms state-of-the-art histogram equalization based methods

    A sensitive image intensifier which uses inert gas

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    High gain optical image intensifier utilizes inert gas cavity with copper electrodes to form electron avalanches without excessive pulse voltages. Estimated optical gain for device is two times 10 to the power of seven

    Real-time multiple-look synthetic aperture radar processor for spacecraft applications

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    A spaceborne synthetic aperture radar (SAR) having pipeline multiple-look data processing is described which makes use of excessive azimuth bandwidth in radar echo signals to produce multiple-looking images. Time multiplexed single-look image lines from an azimuth correlator go through an energy analyzer which analyzes the mean energy in each separate look to determine the radar antenna electric boresight for use in generating the correct reference functions for the production of high quality SAR images. The multiplexed single look image lines also go through a registration delay to produce multi-look images

    Anorexia, Body Image and Peer Effects: Evidence from a Sample of European Women

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    Excessive preoccupation with self-image (or identity) is regarded as a factor contributing to the proliferation of food disorders, especially among young women. This paper models how self-image and peer effects influence health-related behaviours, specifically food disorders. We empirically test our claims using data from the European survey. Our findings suggest that the larger the peers' body-mass, the lower the likelihood of being anorexic. Self-image is correlated with body weight. We use several definitions of peers' body mass and we find that all are negatively associated with the likelihood of women being thin or extremely thin.self-image, identity, body image, eating disorders, anorexia, European women

    Environmental efficiency : meaning and measurement and application to Australian dairy farms

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    Technical efficiency has been widely studied in the literature, but in its pursuit, many of the inputs used can impact on the environment. Environmental effects can be modelled as undesirable output or, as has been the case in more recent studies, as conventional inputs. This paper examines the concept of environmental efficiency and how it can be used to evaluate the performance of Australian dairy farming, using nitrogen surplus, arising from excessive applications of fertilizer, as a detrimental input. Farming promotes the image of clean and green production and if this image is to be maintained, there is a need to ensure activities are environmentally friendly.<br /

    Comparing the Effects of Body Image and BMI on Women’s Romantic Relationships

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    This literature review explores the relationship of how excess weight affects women\u27s romantic relationships. Romantic relationship success has been assessed through the measures of body image and BMI. These similar measures of excessive weight were compared to determine the best measure/method to represent the relationship between excess weight and women’s romantic relationships. The hypothesis stated that excessive weight (in terms of body image, and not BMI) would decrease the overall success of women’s romantic relationships. Findings throughout this literature review have concluded that women have higher social pressure to be thin, women feel excess weight stigma more and this can result in worse body image, and that women who have worse body image due to excess weight are less likely to have successful romantic relationships. The main findings illustrated that the excessive weight measures of body image and BMI were related to romantic relationship success for women (whereas when body image decreased romantic relationship success decreased and when BMI increased romantic relationship success decreased overall); however, body image was found to be the better measure of excessive weight in looking at this relationship as the perception of weight was statistically significant in determining relationship success whereas BMI was not. Overall, the hypothesis was supported

    Progressive refinement rendering of implicit surfaces

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    The visualisation of implicit surfaces can be an inefficient task when such surfaces are complex and highly detailed. Visualising a surface by first converting it to a polygon mesh may lead to an excessive polygon count. Visualising a surface by direct ray casting is often a slow procedure. In this paper we present a progressive refinement renderer for implicit surfaces that are Lipschitz continuous. The renderer first displays a low resolution estimate of what the final image is going to be and, as the computation progresses, increases the quality of this estimate at an interactive frame rate. This renderer provides a quick previewing facility that significantly reduces the design cycle of a new and complex implicit surface. The renderer is also capable of completing an image faster than a conventional implicit surface rendering algorithm based on ray casting

    Body Image and Food Disorders: Evidence from a Sample of European Women

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    Excessive preoccupation for self-image has been pointed out as an essential factor explaining food disorders. This paper draws upon Akerlof and Kranton (2000) to model how ’self-image’ and others’ appearances influence health related behaviours. We estimate the influence of ’peers’ image’ on the likelihood of anorexia and self-image using data from a cross sectional European representative survey for 2004. We follow a two-step empirical strategy. First, we estimate the probability that a woman is extremely thin and, at the same time, she sees herself as too fat. Our findings reveal that peers’ average Body Mass Index decreases the likelihood of being anorexic. Second, we take apart the two processes and estimate a recursive probit model of being very thin and perceiving one self as being too fat. Although peers’ Body Mass Index decreases the likelihood of being very thin but increases that of seeing one self as too fat, the unobservables explaining both processes are significantly correlated.self-image, identity, body image, eating disorders, anorexia
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