نتایج جستجو برای: pixels of selection

تعداد نتایج: 21192998  

2013
Mohamad M. Awad

Segmentation is the process of dividing an imageinto disjoint regions. It is the most important task in image processing where the success of the object recognition depends strongly on the efficiency of the segmentation process. The most popular and important segmentation methods are clustering such asFuzzy c-Means (FCM), Iterative Self-Organizing Data (ISODATA) and K-means. Clustering methods ...

Journal: :ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2016

2015
Kenneth McLeod Albert Burger Chris Armit Bill Hill Richard A. Baldock

Specifying regions of interest to search 3D anatomical space can be di cult. Ontology-based queries are often imprecise and return extra (unwanted) data. Drawing regions of interest in graphical 3D representations of a model organism in principle allows for high precision, but user interfaces can be awkward to use and time consuming. In this poster we promote the use of spatial descriptions as ...

Journal: :journal of biomedical physics and engineering 0
a javadpour neuroscience research center, baqiyatallah university of medical sciences, tehran, iran. a mohammadi neuroscience research center, baqiyatallah university of medical sciences, tehran, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی بقیه الله (baqiyatallah university of medical sciences)

normal 0 false false false en-us x-none fa background:  regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. the method of segmentation is used to analyze anal to miscall structures in medical imaging. objective:  this study describes a new method for brain magnetic resonance image (mri) segmentation via a ...

Journal: :اکو هیدرولوژی 0
مرضیه مکرم عضو هیئت علمی، دانشکدۀ کشاورزی و منابع طبیعی داراب، دانشگاه شیراز مجید حجتی کارشناسی ارشد سنجش از دور و سیستم اطلاعات جغرافیایی، دانشگاه تهران عبدالرسول زارعی عضو هیئت علمی، گروه مهندسی منابع طبیعی (مرتع و آبخیزداری)، دانشکدۀ کشاورزی، دانشگاه فسا

the objective of this study is evaluation of topographic wetness index (twi) using attraction model in northern of fars province. the first attraction model was used to enhance the spatial resolution of digital elevation model (dem). in this research to estimate of value of sub-pixels neighboring pixels, touching and quadrant neighboring models were used. after manufacturing output images for s...

2003
C. Castiello G. Castellano L. Caponetti A. M. Fanelli

In this paper we present a neuro-fuzzy approach for classification of image pixels into three classes: contour, regular or texture points. Exploiting the processing capabilities of a neural network, fuzzy classification rules are derived by learning from data and applied to classify pixels in grey-level images. To derive a proper set of training data, the spatial properties of the image feature...

2007
A. Damm P. Hostert

Trees in urban environments have important ecological functions, but often suffer from suboptimal environmental conditions. Chestnut (Aesculus hippocastanum) is one of the main tree species in Germany’s capital Berlin, constituting 5% of all urban trees. Recently, chestnut trees are exposed to amplified stress levels due to the horse chestnut leaf miner (Cameraria ohridella), a parasitic insect...

The true MR signal intensity extracted from noisy MR magnitude images is biased with the Rician noise caused by noise rectification in the magnitude calculation for low intensity pixels. This noise is more problematic when a quantitative analysis is performed based on the magnitude images with low SNR(<3.0). In such cases, the received signal for both the real and imaginary components will fluc...

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