نتایج جستجو برای: روش Ncut

تعداد نتایج: 369615  

2013
Marina Meila Jianbo Shi

Thus, NCut is small when a partitioning of the graph produces two partitions that are both high in volume, containing many vertices with a high sum of similarities to other vertices, but where the sum of the similarities between vertices in different partitions is small. The NCut problem is to find a partition of the graph which minimizes the NCut criterion. Minimizing the NCut for a graph, how...

Journal: :Physical therapy 2008
Autumn L Bell Joseph Cavorsi

BACKGROUND AND PURPOSE The optimal adjunctive therapy for wounds that fail to heal despite conventional wound care has not been established. Clinical evidence suggests improved healing in wounds treated with noncontact ultrasound therapy (NCUT). Although existing evidence supports the use of NCUT for enhanced wound healing, the total number of participants studied remains modest. This study was...

2013
Hardik K Patel Darshak G Thakore Mahasweta Joshi

Image Segmentation is an important image processing technique which is used to analyse colour, texture etc. Image Segmentation is used to separate an image into several “meaningful” parts. Normalized cut (Ncut) is based on graph cut technique to solve the image Segmentation problems. Rather than just focusing on local features and their consistencies, Ncut consider the global impression of an i...

قطعه‌بندی تصویر، یک مسئله پایه در بینایی ماشین است. در روش مبتنی بر برش نرمالیزه گراف (Ncut)، حل این مسئله به انتخاب بردار ویژه متناظر با دومین کوچک‌ترین مقدار ویژه یک ماتریس خاص می‌انجامد. در این مقاله، ضمن بیان هم‌ارزی رابطه ریاضی حاکم بر مسئله بدون مربیِ Ncut با معیار Fisher-Rao در طبقه‌بندیِ با مربی، از نگاهی نو به مسئله انتخاب بردار ویژه پرداخته شده است. در این مقاله با پیشنهاد معیاری کـارا ...

Journal: :Medical physics 2012
Liang Gao Wei Yang Zhiwu Liao Xiaoyun Liu Qianjin Feng Wufan Chen

PURPOSE Accurately segmenting breast tumors in ultrasound (US) images is a difficult problem due to their specular nature and appearance of sonographic tumors. The current paper presents a variant of the normalized cut (NCut) algorithm based on homogeneous patches (HP-NCut) for the segmentation of ultrasonic breast tumors. METHODS A novel boundary-detection function is defined by combining te...

2007
Shikui Wei Yao Zhao Zhenfeng Zhu Nan Liu Yufeng Zhao Fang Wang Xie Lin

In this paper, we describe our experiments of search task for TRECVID 2007. This year we participated in the automatic video search subtask, and submitted six runs with different combination of approaches to NIST. Using the text only based search engine used in last year, the run F_A_1_JTU_FA_1_1 provides a baseline search result list. In order to bring up true relevant results, a multi-view ba...

Journal: :Remote Sensing 2015
Dominik Jaskierniak George Kuczera Richard Benyon Luke Wallace

Managers of forested water supply catchments require efficient and accurate methods to quantify changes in forest water use due to changes in forest structure and density after disturbance. Using Light Detection and Ranging (LiDAR) data with as few as 0.9 pulses m−2, we applied a local maximum filtering (LMF) method and normalised cut (NCut) algorithm to predict stocking density (SDen) of a 69-...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی اصفهان - دانشکده برق و کامپیوتر 1389

بخش بندی یکی از عملیات سطح پایین پردازش تصویر با هدف افراز تصویر به نواحی مجزا و همگن، یا بطور معادل یافتن مرزهای این نواحی است. تاکنون روش های بخش بندی بسیاری در مراجع پیشنهاد شده است. از جمله ی این روش ها می توان به روش های مبتنی بر گراف اشاره کرد که در سالهای اخیر مورد توجه زیادی قرار گرفته اند. روش های مذکور، اطلاعات مربوط به فضای ویژگی ها و اطلاعات مکانی پیکسل ها را به خوبی با یکدیگر ترکیب...

Journal: :Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 2005
Neculai Archip Robert Rohling Peter Cooperberg Hamid Tahmasebpour Simon K. Warfield

Image segmentation algorithms derived from spectral clustering analysis rely on the eigenvectors of the Laplacian of a weighted graph obtained from the image. The NCut criterion was previously used for image segmentation in supervised manner. We derive a new strategy for unsupervised image segmentation. This article describes an initial investigation to determine the suitability of such segment...

Journal: :Computer Vision and Image Understanding 2004
Aleix M. Martínez Pradit Mittrapiyanuruk Avinash C. Kak

The goal of this communication is to suggest an alternative implementation of the k-way Ncut approach for image segmentation. We believe that our implementation alleviates a problem associated with the Ncut algorithm for some types of images: its tendency to partition regions that are nearly uniform with respect to the segmentation parameter. Previous implementations have used the k-means algor...

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