Segmentation using Appearance of Mesostructure Roughness
نویسندگان
چکیده
منابع مشابه
Level Set Segmentation of Lumbar Vertebrae Using Appearance Models
For the planning of surgical interventions of the spine exact knowledge about 3D shape and the local bone quality of vertebrae are of great importance in order to estimate the anchorage strength of screws or implants. As a prerequisite for quantitative analysis a method for objective and therefore automated segmentation of vertebrae is needed. In this paper a framework for the automatic segment...
متن کاملAppearance Based Recognition of American Sign Language Using Gesture Segmentation
The work presented in this paper goals to develop a system for automatic translation of static gestures of alphabets in American Sign Language. In doing so three feature extraction methods and neural network is used to recognize signs. The system deals with images of bare hands, which allows the user to interact with the system in a natural way. An image is processed and converted to a feature ...
متن کاملAutomatic Segmentation of the Caudate Nuclei using Active Appearance Models
We describe the application of an active appearance model (AAM) based method to segmentation of the caudate nuclei. A “composite” 3D profile AAM was constructed from the surfaces of 15 subcortical structures using a training set of 50 subjects, and individual AAMs of the left and right caudate constructed from 227 subjects. Segmentation starts with affine registration to initialise the composit...
متن کامل3D Kidney Segmentation from Abdominal Images Using Spatial-Appearance Models
Kidney segmentation is an essential step in developing any noninvasive computer-assisted diagnostic system for renal function assessment. This paper introduces an automated framework for 3D kidney segmentation from dynamic computed tomography (CT) images that integrates discriminative features from the current and prior CT appearances into a random forest classification approach. To account for...
متن کاملUnsupervised Dynamic Texture Segmentation Using Appearance and Motion
Dynamic texture (DT) is an extension of texture to the temporal domain. How to segment DTs is a challenging problem. In this paper, we address the problem of segmenting DT into disjoint volumes in an unsupervised way. DTs might be different from their spatial mode (i.e., appearance) and/or temporal mode (i.e., motion field). To this end, we develop a framework based on the appearance and motion...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2009
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-009-0224-2