Locating Objects In A Complex Image

Ben Dawson; George Treese

doi:10.1117/12.946579

11 July 1985 Locating Objects In A Complex Image

Ben Dawson, George Treese

Proceedings Volume 0534, Architectures and Algorithms for Digital Image Processing II; (1985) https://doi.org/10.1117/12.946579
Event: 1985 Los Angeles Technical Symposium, 1985, Los Angeles, United States

Abstract

A vision machine must locate possible objects before it can identify them. In simple images, where the objects and illumination are known, locating possible objects can be part of, and secondary to, identification. In complex, natural images it is more efficient to use a quick and simple method to locate possible objects first, and then to selectively identify them. This parallels the strategy normally used by the human visual system. We present a theory for how possible objects, called "blobs", will be represented in an image, and explore some measures of importance for these candidate objects. An example algorithm based on this theory can quickly generate a list of possible object locations for the identification computation. We discuss the implementation of this example algorithm on a standard image processing system.

Citation Download Citation

Ben Dawson and George Treese "Locating Objects In A Complex Image", Proc. SPIE 0534, Architectures and Algorithms for Digital Image Processing II, (11 July 1985); https://doi.org/10.1117/12.946579

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