نتایج جستجو برای: parameter of segmentation

تعداد نتایج: 21185115  

Journal: :International Journal of Computer Applications 2013

Journal: :journal of modern processes in manufacturing and production 2015
saeed saki entezami masoud farahnakian ali akbari

honing is a process for finishing surfaces to obtain smooth surface. this process is used for finalpolish of inner parts such as engines cylinders. optimizing this process has always been a bigchallenge for mass production of cylinder blocks of internal combustion engines. honing processhas some variable parameters, thus to get their optimum rates the automobile cylinders were tested.in this re...

M Ramachandra S B Mehta Y Kiran Kumar,

Background and Objective: Cerebral Arteriovenous Malformation (CAVM) hemodynamic is disease condition, results changes in the flow and pressure level in cerebral blood vessels. Measuring flow and pressure without catheter intervention along the vessel is big challenge due to vessel bifurcations/complex bifurcations in Arteriovenous Malformation patients. The vessel geometry in CAVM patients are...

Journal: :journal of medical signals and sensors 0
raheleh kafieh hossein rabbani saeed kermani

optical coherence tomography (oct) is a powerful imaging modality used to image various aspects of biological tissues, such as structural information, blood flow, elastic parameters, change of polarization states, and molecular content [1]. in contrast to oct technology development which has been a field of active research since 1991, oct image segmentation has only been more fully explored dur...

Image segmentation is one of the most common steps in digital image processing. The area many image segmentation algorithms (e.g., thresholding, edge detection, and region growing) employed for classifying a digital image into different segments. In this connection, finding a suitable algorithm for medical image segmentation is a challenging task due to mainly the noise, low contrast, and steep...

The stochastic active contour scheme (STACS) is a well-known and frequently-used approach for segmentation of the endocardium boundary in cardiac magnetic resonance (CMR) images. However, it suffers significant difficulties with image inhomogeneity due to using a region-based term based on the global Gaussian probability density functions of the innerouter regions of the active ...

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