TY - JOUR
AU - Treese, George
AB - 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.
TI - Locating Objects In A Complex Image
JF - Proceedings of SPIE
DO - 10.1117/12.946579
DA - 1985-07-11
UR - https://www.deepdyve.com/lp/spie/locating-objects-in-a-complex-image-rQ31vLuJZV
SP - 185
EP - 192
VL - 534
IS - 
DP - DeepDyve
ER -