نتایج جستجو برای: supervised and unsupervised classifications

تعداد نتایج: 16834706  

Journal: :international journal of advanced biological and biomedical research 2014
mostafa moradi dashtpagerdi payman rezaee ali rostamnejad diba ghonchepour

the coastal region of chabahar gulf with 1113.7km2 area has been located in the southeast of iran. in this research, satellite images of etm+ (2004) were used in order to zoning of sedimentary environments in this gulf. methodology of this research was baesd on synthesis of supervised and unsupervised classifications in gis and envi softwares. based on studies and calculation of oif index, the ...

2010
Michelle M. Horta Nelson D. A. Mascarenhas

This paper compares multilook Polarimetric SAR (PolSAR) image classification using three types of learning: a supervised, an unsupervised and a semisupervised. The multilook PolSAR pixel values are complex covariance matrices and they are described by mixtures of Wishart distributions. Tests in synthetic and real images showed that the supervised and semisupervised classifications provided the ...

Ali Rostamnejad Diba Ghonchepour Mostafa Moradi Dashtpagerdi Payman Rezaee

The coastal region of Chabahar Gulf with 1113.7km2 area has been located in the southeast of Iran. In this research, satellite images of ETM+ (2004) were used in order to zoning of sedimentary environments in this Gulf. Methodology of this research was baesd on synthesis of supervised and unsupervised classifications in GIS and ENVI softwares. Based on studies and calculat...

Journal: :journal of medical signals and sensors 0
narges norozi reza azmi

breast lesion segmentation in mr images is one of the most important parts of clinical diagnostic tools. pixel classification methods have been frequently used in 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 be obtained. on t...

Journal: :middle east journal of cancer 0
amirehsan lashkari department of bio-medical engineering, institute of electrical engineering & information technology, iranian research organization for science and technology (irost), tehran, iran

background: in this paper we compare a highly accurate supervised to an unsupervised technique that uses breast thermal images with the aim of assisting physicians in early detection of breast cancer. methods: first, we segmented the images and determined the region of interest. then, 23 features that included statistical, morphological, frequency domain, histogram and gray-level co-occurrence ...

Ali Rostamnejad Diba Ghonchepour Mostafa Moradi Dashtpagerdi Payman Rezaee

The coastal region of Chabahar Gulf with 1113.7km2 area has been located in the southeast of Iran. In this research, satellite images of ETM+ (2004) were used in order to zoning of sedimentary environments in this Gulf. Methodology of this research was baesd on synthesis of supervised and unsupervised classifications in GIS and ENVI softwares. Based on studies and calculat...

2014
T. Sarath G. Nagalakshmi S. Jyothi R. Ablin C. Helen Sulochana

In this paper, we discuss about hyperspectral image processing where it plays an important role in remote sensing, hyperspectral verses multispectral image processing and image classifications. Where these classifications includes image sensors, image preprocessing, object detection, object segmentation, feature extraction and object classification. Mainly there are two types of classifications...

Journal: :Memory & cognition 2008
Erin Colreavy Stephan Lewandowsky

The processes that determine unsupervised categorization, the task of classifying stimuli without guidance or feedback, are poorly understood. Two experiments examined the emergence and plasticity of unsupervised strategies using perceptual stimuli that varied along two separable dimensions. In the first experiment, participants either classified stimuli into any two categories of their choice ...

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...

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