1 February 1999 Object recognition by edge analysis: a case study
Author Affiliations +
Optical Engineering, 38(2), (1999). doi:10.1117/1.602087
The problem of object recognition in digital images is one of the more important topics for many industrial and military applications of automatic vision systems. In addition to noise effects, the identification of imaged objects is greatly hindered by perspective modification of the object's shape and other optical-geometric effects such as the apparent position and scale (magnification). The application of a new algorithm designed to automatically assess orientation, position, and scale of objects portrayed in digital images is discussed. The algorithm, which utilizes a scene description based on image edges and the related Hough transform, also performs object-background separation. The obtained procedure is tested with excellent results using synthetic and real images of flying objects. The purpose is to exploit new techniques and algorithms for automatic target detection or tracking.
Alessandro Barducci, Ivan Pippi, "Object recognition by edge analysis: a case study," Optical Engineering 38(2), (1 February 1999). http://dx.doi.org/10.1117/1.602087

Hough transforms

Image processing

Object recognition

Detection and tracking algorithms

Optical engineering

Signal to noise ratio

Image filtering


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