Digital Imaging for TEM - Part III Characterizing Digital Images
نویسندگان
چکیده
منابع مشابه
Temperature Mapping Using Ultrasound Digital Images
Introduction: The success of hyperthermia depends on the accuracy of the temperature monitoring in the tumor and the surrounding normal tissue. In this study, the temperature changes were determined by computing the speckle displacement in the ultrasound digital images. Speckle tracking algorithm was used to compute the displacement. Materials and Methods: The experiment was perf...
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We present an approach for modeling and filtering digitally scanned images. The digital contour of an image is segmented to identify the linear segments, the nonlinear segments and critical corners. The nonlinear segments are modeled by B-splines. To remove the contour noise, we propose a weighted least q m s model to account for both the fitness of the splines as well as their approximate cur...
متن کاملJournal of Digital Imaging Characterizing Diagnostic Search Patterns in Digital Breast Pathology: Scanners and Drillers
Following a baseline demographic survey, 87 pathologists interpreted 240 digital whole slide images of breast biopsy specimens representing a range of diagnostic categories from benign to atypia, ductal carcinoma in situ, and invasive cancer. A web-based viewer recorded pathologists' behaviors while interpreting a subset of 60 randomly selected and randomly ordered slides. To characterize diagn...
متن کاملAdaptive Optimum Notch Filter for Periodic Noise Reduction in Digital Images
Periodic noises are unwished and spurious signals that create repetitive pattern on images and decreased the visual quality. Firstly, this paper investigates various methods for reducing the effects of the periodic noise in digital images. Then an adaptive optimum notch filter is proposed. In the proposed method, the regions of noise frequencies are determined by analyzing the spectral of noisy...
متن کاملtemperature mapping using ultrasound digital images
introduction: the success of hyperthermia depends on the accuracy of the temperature monitoring in the tumor and the surrounding normal tissue. in this study, the temperature changes were determined by computing the speckle displacement in the ultrasound digital images. speckle tracking algorithm was used to compute the displacement. materials and methods: the experiment was perf...
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ژورنال
عنوان ژورنال: Microscopy Today
سال: 1995
ISSN: 1551-9295,2150-3583
DOI: 10.1017/s1551929500062209