نتایج جستجو برای: boundary detection

تعداد نتایج: 719832  

Journal: :journal of medical signals and sensors 0
mahdi kazemian jahromi raheleh kafieh hossein rabbani alireza mehri dehnavi alireza peyman fedra hajizadeh

diagnosis of corneal diseases is possible by measuring and evaluation of corneal thickness in different layers. thus, the need for precise segmentation of corneal layer boundaries is inevitable. obviously, manual segmentation is time‑consuming and imprecise. in this paper, the gaussian mixture model (gmm) is used for automatic segmentation of three clinically important corneal boundaries on opt...

Journal: :Medical image analysis 2010
Jochen Peters Olivier Ecabert Carsten Meyer Reinhard Kneser Jürgen Weese

Segmentation of medical images can be achieved with the help of model-based algorithms. Reliable boundary detection is a crucial component to obtain robust and accurate segmentation results and to enable full automation. This is especially important if the anatomy being segmented is too variable to initialize a mean shape model such that all surface regions are close to the desired contours. Se...

2014
Syaiful Anam Eiji Uchino Noriaki Suetake

This paper proposes a hybrid boundary detection method for image based on a new modified level set method and a fuzzy model. It is applied to a boundary detection problem of coronary plaque. Level set method has been applied widely in image processing. It however does not work well for an intravascular ultrasound (IVUS) image because an image gradient, commonly used for calculating a speed func...

2017
Sajida Imran Young-Bae Ko

In wireless sensor networks, detection and tracking of continuous natured objects is more challenging owing to their unique characteristics such as uneven expansion and contraction. A continuous object is usually spread over a large area, and, therefore, a substantial number of sensor nodes are needed to detect the object. Nodes communicate with each other as well as with the sink to exchange c...

2016
Antti Suni Juraj Šimko Martti Vainio

Unsupervised boundary detection and classification is both a theoretically interesting question and an important challenge for speech technology. Theoretical interest lies in exploring how and to what extent is the boundary information encoded in purely acoustic material. For technology, automatic boundary detection facilitates cheap and fast labeling of large corpora of speech data. In this wo...

Journal: :IEEE Transactions on Circuits and Systems for Video Technology 2002

Journal: :Review of Scientific Instruments 2004

Journal: :International Journal of Computer Applications 2012

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