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Shadow detection and Shadow removal is major issue in computer vision group. Real research in shadow detection and removal for moving objects includes verification of moving shadow points which are many times mis-classified as moving object points in a live video sequences. A large number of shadow detection and shadow removal algorithms are introduced for images but only a few researches has been...
Shadows are the part of images which are mostly responsible for reducing the reliability and quality of many computer vision algorithms which include segmentation, object detection, scene analysis etc. For improving performance and increasing the reliability of such vision tasks shadow detection and removal is an important pre-processing technique. Many techniques have been proposed over the years...
Shadows are formed when light from the source is obstructed by an object. Shadows hide the information of the underlying objects which will lead to wrong interpretations during image processing. Hence shadow detection has become a vital pre-processing step in digital image processing as most of the images acquired are contaminated with shadows. The shadows are found more in urban images where the...
When cerebral nervous tissue lacks of blood and oxygen, neurocyte is altered in metabolism, following with intracellular acid-base disturbance. Alteration of intracellular pH value can influence the magnetization transfer ratio (MTR). So pH-sensitive magnetization transfer imaging can reflect the alteration in metabolism. Using this technology to image ischemic brain may make an early detection and...
Very important process in the area - image processing, is the task of foreground extraction. To learn a computer to distinguish between foreground objects and background scene is non-trivial. Further, if foreground is extracted, a question can be set: is the foreground credible? What if significant part of detected foreground is unimportant information? Shadow is in most cases as noise considered...
A high resolution neutron imaging system (NIS) is developed and tested on the OMEGA laser facility for inertial confinement fusion (ICF) experiments. This diagnostic uses a coded imaging technique with a high resolution neutron camera. Over the past few years, this detector was improved and neutron images can now be acquired on OMEGA with a 20 μm spatial resolution in the source plane and good signal...
This work introduces a new analysis procedure to measure availability of information to render a new view, given a set of views from a camera in linear motion, or a linear array of cameras. The given set can be interpolated to generate a new view using a crossed-slit camera model. The analysis consists of finding regions in the neighborhood of the linear camera positions, where a full view, partial...
We introduce in this paper, a shadow detection and removal method for moving objects especially for humans and vehicles. An effective method is presented for detecting and removing shadows from foreground figures. We assume that the foreground figures have been extracted from the input image by some background subtraction method. A figure may contain only one moving object with or without shadow....
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