Paper
11 July 1985 Locating Objects In A Complex Image
Ben Dawson, George Treese
Author Affiliations +
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.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image resolution

Image filtering

Digital image processing

Image processing

Machine vision

Head

Linear filtering

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