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This paper presents a modification of a region based approach for unsupervised segmentation of high resolution satellite imagery as a solution to segmentation of land use coverage in QuickBird multispectral 2.44 m imagery.
Based on the existing video-based traffic detecting system, authors [17] present a new solution to segmentation of vehicles from the background, in order to improve the processing speed, the performance during a traffic jam, etc.
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Geographic object based image analysis (GEOBIA) emerged as a solution to partition remote sensing imagery or digital elevation models into homogeneous image objects, based on image segmentation.
The graph-cut algorithm may be used to find a globally optimal solution to a segmentation problem.
In the field of PET imaging, a variation of the basic Otsu method has been introduced as a solution to the PET segmentation problem [13].
Since there is no general solution to the image segmentation problem, these techniques often have to be combined with domain knowledge in order to effectively solve an image segmentation problem for a problem domain.
This can be used to iteratively build up a solution to the global segmentation problem.
A possible solution to make the segmentation less user dependent could be to develop an algorithm which can detect parts of the AVA boundaries (semi automatically and interpolate the rest of the object boundary.
Despite the great progress on interactive image segmentation, image co-segmentation, 2D and 3D segmentation, there is still no workable solution to the problem: given a set of calibrated or un-calibrated multi-view images (say, more than 40 images), by interactively cutting 3 ∼ 4 images, can the foreground object of the rest images be quickly cutout automatically and accurately?
Moreover, we study the Ulam stability and apply these stable solutions to improve the segmentation of a class of growing bacteria.
Many different PET segmentation techniques have been proposed as a solution to the delineation of the MTV [9].
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