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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...
With the development of various imaging technologies, medical imaging has been playing more important roles on providing scientific proof for doctors to make decisions on clinical diagnosis. At the same time, it is very important to excavate valuable information hidden in those images and take over some auxiliary medical works from doctors by the computer. Therefore, a large number of image segmentation...
Historical parchment scrolls are fragile, and prone to damage from a variety of causes such as fire, water, and general mistreatment. Consequently many of these scrolls cannot be unrolled, so that their contents have remained hidden for centuries. To overcome these difficulties, we have developed a method of segmenting X-ray tomographic scans of parchment which enables a “virtual unrolling” of these...
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...
This paper describes a 2-D automatic segmentation scheme for brainstem and cerebellum regions in brain MR images by using Ada-boosted and Active Contour Model technologies. The proposed scheme includes two processing stages: the detection process for the candidate regions and the segmentation process for the final contours. In the detection process, Ada-boosted technology has been used for three times...
A semi-automatic multiple-stage segmentation scheme of brainstem and cerebellum is proposed in this paper. This proposed scheme contains a modified scale-based fuzzy connectedness (FC) algorithm, a morphology operator, Chain code, and active contour mode (ACM). A modified scale-based FC is utilized to delivery a rough segmentation, a morphology operator and Chain code are used to compensate the uncompleted...
The researches about upper limb palsy patients are the minority areas among the researches about cerebral palsy (CP) patients. This paper presents an upper-limb-movement classification system of cerebral palsy children based on their arm motion information to judge their impairment degree. The system contains three parts: image capture, image segmentation, and information classification processing...
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