Latest trend of variation of EDGE detection and object detection with pixel level variation and their comparison algorithms

Abstract

The frequent traffic jams at major junctions call for an efficient traffic management system in place. The resulting wastage of time and increase in pollution levels can be eliminated on a city-wide scale by these systems. The image sequences from a camera are analyzed using various edge detection and object counting methods to obtain the most efficient technique. Subsequently, the number of vehicles at the intersection is evaluated and traffic is efficiently managed.

A Comparative Study on the Method of Extracting Edge and Contour Information of Multifunctional Digital Ship Image

“…At present, the edge feature extraction technology of multifunctional digital ship image has been widely used in the field such as target tracking, fingerprint recognition, laser remote sensing image segmentation and many others. The edge and contour information extraction of multifunctional digital ship image, has become one of the hot research topics [10][11][12]. In reference [13], a method of extracting edge and contour information of multifunctional digital ship image based on self-enhancement is proposed.…”