نتایج جستجو برای: fare alass segmentation

تعداد نتایج: 68614  

Journal: :پژوهش های جغرافیای طبیعی 0
سیدمهدی پورباقر کردی مربی دانشگاه پیام نور و دانشجوی دکتری تخصصی ژئومورفولوژی، دانشگاه خوارزمی عزت الله قنواتی دانشیار گروه ژئومورفولوژی، دانشکدة علوم جغرافیا، دانشگاه خوارزمی امیر کرم دانشیار گروه ژئومورفولوژی، دانشکدة علوم جغرافیا، دانشگاه خوارزمی امیر صفاری دانشیار گروه ژئومورفولوژی، دانشکدة علوم جغرافیا، دانشگاه خوارزمی

introduction this research addresses the automatic extraction of alluvial fans using four methods of segmentation from satellite data. this segmentation method divides images into partitions. it is typically used to recognize objects or other relevant purposes in digital images (fu, 2013:3260). alluvial fans have always been a landform that attracts human because they are suitable areas for liv...

Marzieh Azarian, Mashallah Abbasi Dezfuli Reza Javidan,

Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...

Alireza Ahmadian, Emad FatemiZadeh Fereshteh Yousefi Rizi Javad Alirezaie Nader Rezaie

Introduction: Virtual bronchoscopy is a reliable and efficient diagnostic method for primary symptoms of lung cancer. The segmentation of airways from CT images is a critical step for numerous virtual bronchoscopy applications. Materials and Methods: To overcome the limitations of the fuzzy connectedness method, the proposed technique, called fuzzy connectivity - fuzzy C-mean (FC-FCM), utilized...

Image segmentation is a fundamental approach in the field of image processing and based on user’s application .This paper propose an original and simple segmentation strategy based on the EM approach that resolves many informatics problems about hyperspectral images which are observed by airborne sensors. In a first step, to simplify the input color textured image into a color image without tex...

Journal: :Nature 2021

Pregnant women fare worse than others, although the risks to fetus are slight.

Journal: :journal of medical signals and sensors 0
reza azmi boshra pishgoo narges norozi samira yeganeh

brain mr images tissue segmentation is one of the most important parts of the clinical diagnostic tools. pixel classification methods have been frequently used in the image segmentation with two supervised and unsupervised approaches up to now. supervised segmentation methods lead to high accuracy but they need a large amount of labeled data, which is hard, expensive and slow to obtain. moreove...

2007
Leiyu Shi

This study examined access to care for uninsured and Medicaid-insured community health center patients in comparison to nonhealth center patients nationally. Using nationally representative data from 2 major surveys in 2002, there was a positive association between seeking care in community health centers and self-reported access to care for both uninsured and Medicaid patients. This suggests t...

Journal: :Issue Brief (Public Policy Institute (American Association of Retired Persons)) 1998
S E Rix J B Williamson

Trends in female labor force participation rates, female earnings as a percent of male earnings, and women’s pension coverage all point to improvements in the economic status of women that have taken place in recent decades. In the years ahead, more women will be receiving Social Security and pension benefits based on their own work histories and, in the aggregate, are likely to have higher rea...

Journal: :OCLC Systems & Services 2008
Norm Medeiros

Introduction: Appropriate definition of the distance measure between diffusion tensors has a deep impact on Diffusion Tensor Image (DTI) segmentation results. The geodesic metric is the best distance measure since it yields high-quality segmentation results. However, the important problem with the geodesic metric is a high computational cost of the algorithms based on it. The main goal of this ...

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