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In many image segmentation problems involving limited and low-quality data, employing statistical prior information about the shapes of the objects to be segmented can significantly improve the segmentation result. However, defining probability densities in the space of shapes is an open and challenging problem, especially if the object to be segmented comes from a shape density involving multiple...
Initial results on a fast approach for detecting straight line segments based on the combination of local search and Hough Transform (HT) is discussed in this paper. Though HT is a robust method for extracting patterns from noisy images, it does not regard the level of occlusions and the minimum allowable line segment length. We propose a Sliding Window (SW) concept which eliminates most of the spurious...
Data stream is relatively new and emerging domain in the current era of Internet advancement. Clustering data streams is equally important and difficult because of the numerous hurdles attached to it. A number of algorithms have been proposed to offer solutions for efficient clustering. Grid-based clustering approach was adopted few years ago to overcome the limitations of conventional partition-based...
Tuberculosis (TB) these days is considered as a major health threat in most of the countries of the world. Bacillus, also referred to as Mycobacterium tuberculosis, is the main cause of mortality due to TB. It is reported that mortality rates of patients with tuberculosis are higher when it is not diagnosed at an early stage. At present the approaches used to diagnose TB are based on the incorrect...
Dendritic spines, membranous protrusions of neurons, are one of the few prominent characteristics of neurons. Their shapes change with variations in neuron activity. Spine shape analysis plays a significant role in inferring the inherent relationship between neuron activity and spine morphology variations. First step towards integrating rich shape information is to classify spines into four shape...
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