نتایج جستجو برای: micro scan image

تعداد نتایج: 555984  

2015
Giovanni Alfredo Guarneri Daniel Rodrigues Pipa Flávio Neves Junior Lúcia Valéria Ramos de Arruda Marcelo Victor Wüst Zibetti

Ultrasound imaging systems (UIS) are essential tools in nondestructive testing (NDT). In general, the quality of images depends on two factors: system hardware features and image reconstruction algorithms. This paper presents a new image reconstruction algorithm for ultrasonic NDT. The algorithm reconstructs images from A-scan signals acquired by an ultrasonic imaging system with a monostatic t...

2015
Ricardo Abreu da Rosa Manuela Favarin Santini Bruno Cavalini Cavenago Jefferson Ricardo Pereira Marco Antônio Húngaro Duarte Marcus Vinícius Reis Só

re-preparation with rotary or reciprocating files and passive ultrasonic irrigation (PUI). Twenty maxillary molars were prepared using ProTaper instruments up to F1. The teeth were filled with AH Plus and ProTaper gutta-percha points using the single-cone technique. Thereafter, the specimens were scanned using a micro-computed tomography system (Micro-CT #1). Then, the root canal filling was re...

Journal: :Computer Vision and Image Understanding 2016
Roy Josef Jevnisek Shai Avidan

Semi Global Boundary Detection (SGBD) breaks the image into scan lines in multiple orientations, segments each one independently, and combines the results into a final probabilistic 2D boundary map. The reason we break the image into scan lines is that they are a mid-level image representation that captures more information than a local patch. Luckily, scan lines are 1D signals that can be opti...

Journal: :CoRR 2013
A. Meena K. Raja

Medical image segmentation is referred to the segmentation of known anatomic structures from different medical images. Normally, the medical data researches are more complicated and an exclusive structures. This computer aided diagnosis is used for assisting doctors in evaluating medical imagery or in recognizing abnormal findings in a medical image. To integrate the specialized knowledge for m...

Journal: :Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 2008
Vladlena Gorbunova Pechin Lo Haseem Ashraf Asger Dirksen Mads Nielsen Marleen de Bruijne

We present a new image registration based method for monitoring regional disease progression in longitudinal image studies of lung disease. A free-form image registration technique is used to match a baseline 3D CT lung scan onto a following scan. Areas with lower intensity in the following scan compared with intensities in the deformed baseline image indicate local loss of lung tissue that is ...

Journal: :Ultrasound in medicine & biology 2018
Mawia Khairalseed Fangyuan Xiong Jung-Whan Kim Robert F Mattrey Kevin J Parker Kenneth Hoyt

H-Scan is a new ultrasound imaging technique that relies on matching a model of pulse-echo formation to the mathematics of a class of Gaussian-weighted Hermite polynomials. This technique may be beneficial in the measurement of relative scatterer sizes and in cancer therapy, particularly for early response to drug treatment. Because current H-scan techniques use focused ultrasound data acquisit...

2011
Chinmay Rao Kushal Mukherjee

Detection and classification of underwater mines among natural formations and debris along the sea floor is a tedious task. In order to overcome such scenario an automated computer aided detection and classification system is required. Image processing techniques are used to improve the performance of mine hunting operations using sector-scan, side-scan, magnetometers, cameras, etc. This paper ...

2011
S. Saroja

-In this paper, we propose a novel method for improving digital image recovery from print – scan channel. A printed photograph is not sufficient to recover the original digital image because of distortions introduced in scanning process. The proposed approach recovers the print – scan images with improved quality. We solve this approximation problem by combining both the photograph and the digi...

2004
Peter D. Burns Don Williams

For digital image acquisition systems, analysis of image noise often focuses on random sources, such as those associated with quantum signal detection and signal-independent fluctuations. Other important noise sources result in pixel-to-pixel sensitivity variations that introduce repeatable patterns into the image data. In addition, because most analyses use a nominally uniform target area to e...

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