Object Detection Using Region Growing In Laser Range Imagery

James G. Landowski; Richard S. Loe

doi:10.1117/12.976603

22 August 1988 Object Detection Using Region Growing In Laser Range Imagery

James G. Landowski, Richard S. Loe

Proceedings Volume 0938, Digital and Optical Shape Representation and Pattern Recognition; (1988) https://doi.org/10.1117/12.976603
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

Abstract

A technique for detecting objects in noisey range imagery and within a cluttered background is discussed and demonstrated on real data. The approach is based on a simple region growing technique which uses the range difference between neighboring pixels in the image as the similarity measure in the growing process. A region list is generated by the process which includes several region properties. Some of these properties are used to validate regions as detections based on a priori knowledge of general object structure. The performance of the techique is tested at several spacial resolutions and with ambiguous range data. Results of varying the similarity measure threshold is also shown. An approach to object orientation estimation is also discussed.

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James G. Landowski and Richard S. Loe "Object Detection Using Region Growing In Laser Range Imagery", Proc. SPIE 0938, Digital and Optical Shape Representation and Pattern Recognition, (22 August 1988); https://doi.org/10.1117/12.976603

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KEYWORDS

Image processing

Target detection

Image resolution

Sensors

Optical resolution

LIDAR

Optical pattern recognition

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