文章基本信息

标题：A Novel Approach of Entropy based Adaptive Thresholding Technique for Video Edge Detection
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作者：Debabrata Samanta ; Mousumi Paul
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2011
卷号：2
期号：5
页码：2108-2110
出版社：TechScience Publications
摘要：Motion estimation and Edge detection are one of the bottlenecks in terms in image processing and computer vision, particularly in the areas of feature detection and feature extraction, to refer to algorithms which aim at identifying points in a digital image frames of an video at which the frame-image brightness changes sharply or more formally has discontinuities. Real-time video and image processing is used in a wide variety of applications from video surveillance and traffic management to medical imaging applications. In this paper a novel methodology has been carried out to generate an adaptive threshold technique, based on Entropy, is used to filter the edges from its background from a video. An automatic approach for a vehicle crosses a speed limit this can be highlighted by counting the number of image frames generated in a defined background region.
关键词：Entropy; Gradient; Adaptive Threshold; Motion;Generation; Frame-image.