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Ventriculomegaly is one of the most sensitive markers for abnormal development of the fetal central nervous system. So assessment of the size of lateral ventricles has become an important part of routine neurological assessment in neonates. We have proposed a method for measuring the width of lateral ventricles in term and preterm neonates from the coronal view of their brain ultrasound images. Based...
The work presents a method to automatically summarize a text with the help of multivariate statistical technique. The method is subdivided into two phases namely the training and the testing phases. The goal of this approach is to design a summarizer which will perform the task very much like a human. We propose a training methodology where we train the system using manual summaries. The utilization...
The widespread adoption of minimally invasive surgical techniques have driven the need for 3D intra-operative image guidance. Hence the 3D pose estimation (position and orientation) performed through the registration of pre-operatively prepared 3D anatomical data to intra-operative 2D fluoroscopy images is one of the main research areas of image guided orthopedic surgery. The goal of this 2D-3D registration...
We propose algorithms to extract groups of meaningful image level lines using Helmholtz perception principle. In this paper, the meaningfulness refers to the segmentation of circular and rectangular shapes in an image. We propose an objective assessment of meaningfulness of an image level line when the level line takes the shape of circle or rectangular segment. We have shown that a logical threshold...
In pattern recognition problems features plays an important role for classification results. It is very important which features are used and how many features are used for the classification process. Most of the real life classification problem uses different category of features. It is desirable to find the optimal combination of features that improves the performance of the classifier. There exists...
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