Paper
1 September 1993 Generating object locators from a training ensemble
David B. Sher, Elyse H. Podnos
Author Affiliations +
Abstract
We discuss and present preliminary results about an algorithm which is trained to locate objects in images. The algorithm determines the parameters for a generalized Hough transform based on training images. Our training images consist of binary edge images from noisy imagery and identified points and boundaries for the objects being located in this imagery. The resulting generalized Hough transform will find objects of the same type at a wide variety of scales and any orientation present in the training data.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David B. Sher and Elyse H. Podnos "Generating object locators from a training ensemble", Proc. SPIE 1962, Adaptive and Learning Systems II, (1 September 1993); https://doi.org/10.1117/12.150583
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KEYWORDS
Hough transforms

Binary data

Algorithm development

Detection and tracking algorithms

Neural networks

Data modeling

Object recognition

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