A B-snake model using statistical and geometric information-applications to medical images
نویسندگان
چکیده
A B-snake model using statistics information for segmenting 2D objects from medical images is presented in this paper. Based on our previous research work[10], a statistical model is proposed for our B-snake model, in order to use available priori knowledge about the object shape being studied. This method allows the deformation of B-snake to be influenced primarily by the most reliable matches. Experimental results show that our method is robust and accurate in object contour extraction in medical images.
منابع مشابه
Contour Extraction in Medical Images Using B-Snake Model
In this paper, a close-form B-snake model is presented for contour extraction in medical images. Based on our previous research work [lo], the Principal Component Analysis (PCA) has been applied to our B-snake model, in order to use available statistical information about the desired object shape. This approach allows the deformation of B-snake to synthesize the shape similar to those in the tr...
متن کاملAn Adaptive-Focus Deformable Model Using Statistical and Geometric Information
ÐAn active contour (snake) model is presented, with emphasis on medical imaging applications. There are three main novelties in the proposed model. First, an attribute vector is used to characterize the geometric structure around each point of the snake model; the deformable model then deforms in a way that seeks regions with similar attribute vectors. This is in contrast to most deformable mod...
متن کاملDynamic B-snake model for complex objects segmentation
A close-form B-Snake model using statistics information for 2D objects segmentation is presented in this paper. We called it Dynamic B-Snake Model (DBM). It is able to model the features of the object in training set and guide the B-Snake in the deforming procedure. Compared to other deformable models, the DBM maintains the smoothness of curve while still remain compact representation. Moreover...
متن کاملEvaluation of Similarity Measures for Template Matching
Image matching is a critical process in various photogrammetry, computer vision and remote sensing applications such as image registration, 3D model reconstruction, change detection, image fusion, pattern recognition, autonomous navigation, and digital elevation model (DEM) generation and orientation. The primary goal of the image matching process is to establish the correspondence between two ...
متن کاملAutomatic Segmentation of Lung Areas in Magnetic Resonance Images
Segmenting the lungs in medical images is a challenging and important task for many applications. In particular, automatic segmentation of lung cavities from multiple magnetic resonance (MR) images is very useful for oncological applications such as radiotherapy treatment planning. However, distinguishing of the lung areas is not trivial due to largely changing lung shapes, low contrast and poo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002