Segmentation And Compression Of Gray Level Images Using Piecewise Gradient Models

A. C. Sanderson; R. Bracho

doi:10.1117/12.934093

23 May 1983 Segmentation And Compression Of Gray Level Images Using Piecewise Gradient Models

A. C. Sanderson, R. Bracho

Proceedings Volume 0360, Robotics and Industrial Inspection; (1983) https://doi.org/10.1117/12.934093
Event: 26th Annual Technical Symposium, 1982, San Diego, United States

Abstract

The piecewise gradient image modeling algorithm provides a multi-level relational graph representation of an image where the nodes describe regions of constant intensity gradient and the arcs provide structural information about the image. A set of statistical attributes is associated with each node to further describe the image characteristics. The paper describes the algorithm's six major steps, presents a set of examples, and discusses its, usefulness in two major vision problems: classification and interpretation of scenes with 3-D objects.

Citation Download Citation

A. C. Sanderson and R. Bracho "Segmentation And Compression Of Gray Level Images Using Piecewise Gradient Models", Proc. SPIE 0360, Robotics and Industrial Inspection, (23 May 1983); https://doi.org/10.1117/12.934093

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