نتایج جستجو برای: image understanding
تعداد نتایج: 882303 فیلتر نتایج به سال:
Large amounts of spatial data are becoming available today due to the rapid development of remote sensing techniques. Several retrieval systems are proposed to retrieve necessary, interested and effective information such as keyword based image retrieval and content based image retrieval. However, the results of these approaches are generally unsatisfactory, unpredictable and don’t match human ...
Image understanding is widely used in many areas like satellite imaging, robotic technologies, sensory networks, medical and biomedical imaging, intelligent transportation systems, etc. But it is difficult by traditional image processing. Recently semantic analysis has become an active research topic aimed at resolving the gap between low level image features and high level semantics which is a...
Image understanding often requires extensive background knowledge. For example, to the lay person, an x-ray image of the human cerebral vasculature can be almost meaningless. However, a trained radiologist, with a knowledge of anatomy and years of experience, can usually quickly detect anomalies in the blood vessels in the x-ray image. The problem addressed in this paper is how the background k...
Mingchuan Zhang and Su-shing Chen Department of Computer Science University of North Carolina Charlotte, NC 28223 In this paper, we present some results of evidential reasoning m understanding multispectral images of remote sensing systems. The Dempster-Shafer approach of combination of evidences is pursued to yield contextual classification results, which are compared with previous results of ...
these days, all department stores make an effort to provide their clients with valuable products in order to project the best image for them. as a result, clients’ comprehension risk will decrease and they will be more willing to repurchase. having a good image is really important for the department stores because it makes an impression on clients’ comprehension of both quality and risk. consid...
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