October 22, 2013
Comments Off on Estimating Information from Image Colors:An Application to Digital Cameras and Natural Scenes
Posted in: Final year projects
Abstract The colors present in an image of a scene provide information about its constituent elements. But the amount of information depends on the imaging conditions and on how information is calculated. This work had two aims. The first was to derive explicitly estimators of the information available and the information retrieved from the color […]
October 22, 2013
Comments Off on Context-Based Hierarchical Unequal Merging for SAR Image Segmentation
Posted in: Final year projects
Abstract This paper presents an image segmentation method named Context-based Hierarchical Unequal Merging for Synthetic aperture radar (SAR) Image Segmentation (CHUMSIS), which uses superpixels as the operation units instead of pixels. Based on the Gestalt laws, three rules that realize a new and natural way to manage different kinds of features extracted from SAR images […]