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In this paper, we propose an active contour model using local morphology fitting for automatic vascular segmentation on 2-D angiogram. The vessel and background are fitted to fuzzy morphology maximum and minimum opening, separately, using linear structuring element with adaptive scale and orientation. The minimization of the energy associated with the active contour model is implemented within a level...
Fuzzy region based image retrieval algorithms and relevance feedback algorithms have been active research areas. However, most relevance feedback algorithms can't be used in Fuzzy region based image retrieval system because of the complexity of fuzzy similarity expression. To overcome the problem, this paper modifies the equation to calculate the fuzzy similarity and proposes a new relevance feedback...
In this paper, a scheme using fuzzy mathematical morphology operations is proposed for extracting coronary arteries tree on angiogram. After the enhancement of image with the traditional morphological top-hat operator, the vessel image is filtered with the fuzzy morphological opening with a set of linear structuring elements at different orientation. At the same time, the enhanced image is also filtered...
This paper realizes a new method to segment intracranial structure from series of cerebral computerized tomography (CT) automatically. Firstly, a region growing and morphology based approach is developed to extract intracranial structures from series cerebral computerized tomography with the knowledge of anatomy, and then focusing on the problems of parameter initialization of the expectation maximization...
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