Abstract not found

Retinal blood vessels are important structures in ophthalmological images. Many detection methods are available, but the results are not always satisfactory. In this paper, we present a novel model based method for blood vessel detection in retinal images. It is based on a Laplace and thresholding

A model-based algorithm, termed exclusion region and position refinement (ERPR), is presented for improving the accuracy and repeatability of estimating the locations where vascular structures branch and cross over, in the context of human retinal images. The goal is two fold. First, accurate

In this paper model-based reconstruction methods are applied to the detailed reconstruction of buildings from close-range images. The 3D points obtained through image matching are segmented into a coarse polyhedral model with a robust regression algorithm, then the geometry of this model is refined

Leader-follower station-keeping is a relatively standard guidance method that has been well explored in the literature, starting with Hummel [10] and constantly improved upon and validated in various simulations [6,11,13,14,16,17]. In this method the control algorithm tries to maintain a static

Many computational methods have been widely used to identify transcription regulatory interactions based on gene expression profiles. The selection of dependency measure is very important for successful regulatory network inference. In this paper, we develop a new method–DBoMM (Difference in BIC

, the subject matter needs to be written in a formal language or syntax. In this research, several model based methods are investigated and experimented in order to reduce testing expenses, improve test coverage, and the effectiveness of the testing process. Formal models are generated from the application

As a global feature of fingerprints, the orientation field is very important for automatic fingerprint recognition. Many algorithms have been proposed for orientation field estimation, but their results are unsatisfactory, especially for poor quality fingerprint images. In this paper, a model-based

components are therefore fundamental to improve the clinical outcome of knee replacement. In the present study, a novel model-based method for the estimation of the three-dimensional (3-D) position and orientation (pose) of both the femoral and tibial knee prosthe-sis components during activity is presented

is missing. With this publication a model-based method is provided that connects specification, design, and analysis of functional as well as physical characteristics for distributed safety-relevant systems with EMC simulations. By applying our method, potential coupling paths and EMC issues can