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Inappropriate medication use such as wrong drug or wrong dose intake can be harmful to patients. In this work we present a method to automatically identify a pill from a single image using Convolutional Neural Network (CNN). We first localize the pill in the image by detecting the region with the highest concentration of edges. To overcome the challenge of minimal labeled training data and domain...
Six of the ten leading causes of death in the United States can be directly linked to diet. Measuring accurate dietary intake, the process of determining what someone eats is considered to be an open research problem in the nutrition and health fields. We are developing image-based tools in order to automatically obtain accurate estimates of what foods a user consumes. We have developed a novel food...
In this paper, we propose a segmentation method based on normalized cut and superpixels. The method relies on color and texture cues for fast computation and efficient use of memory. The method is used for food image segmentation as part of a mobile food record system we have developed for dietary assessment and management. The accurate estimate of nutrients relies on correctly labelled food items...
Facial diagnosis is an important and very intuitive diagnostic method in Traditional Chinese Medicine (TCM). However, due to its qualitative and experience-based subjective property, traditional facial diagnosis has a certain limitation in clinical medicine, even in modern information diagnosis. The computerized inspection method provides quantitative model to evaluate facial complexion. This paper...
This paper describes a novel region segmentation method designed to avoid complications of the threshold process used in traditional segmentation methods in 2-D optical coherence tomography (OCT) images. Analysis of the layers and regions in OCT images is used to diagnose the presence of cancer and identify the stage of the cancer if present. However, scattering during OCT images generates a speckle...
Visual discomfort has been the subject of considerable research in relation to stereoscopic displays, but remains an ambiguous concept used to denote a variety of subjective symptoms potentially related to different underlying processes. In this paper, we firstly studied the hue and saturation influence quantitatively on stereoscopic images combining the characters of human visual system (HVS). According...
SVG (scalable vector graphics) has become the standard format for 2D graphics in HTML5. Although some image-to-SVG conversion systems had been proposed, the sizes of files they produced are still large. In [1], we proposed a new system to convert raster comic images into vector SVG files. The compression ratio is better than the previous methods. However, these methods do not process text in raster...
The construction of computer Chinese chess game platform creates favorable conditions for the development of discrete event dynamic system theory and provides a good research platform for solving dynamic countermeasure problems in discrete system. This paper analyses the existing problems of computer Chinese chess game, the structure and performance of computer Chinese chess game platform and the...
Currently, contradiction between the supply and demand of uranium resources is increasing. Remote sensing technology, as one of key technoligies of “Digital Globe”, has brought into playing important action in prospecting for uranium resources. With the development of remote sensing, the resolution of spatial, spectral and temporal has being improved quickly. In addition, Tarim Basin is an important...
Abstract-Traditional image compression methods handle vectored data to compress, but the process undermines the spacial intrinsic structures of high dimensional data. In order to overcome the shortcomings of traditional methods, we presented a novel method of color image compression. In this paper, the color images were encoded into 3rd-order tensors (AI1timesI2timesI3). We did the tucker decomposition...
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