Configurable hardware for image segmentation

Scott Burdette Anderson; Philip P. Dang; Paul M. Chau

doi:10.1117/12.341139

8 March 1999 Configurable hardware for image segmentation

Scott Burdette Anderson, Philip P. Dang, Paul M. Chau

Proceedings Volume 3652, Machine Vision Applications in Industrial Inspection VII; (1999) https://doi.org/10.1117/12.341139
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Deconstructing an image based upon it parts poses a challenge to image analysis that may be solved using adaptive algorithms. The presence of occlusion or image rotation makes template matching difficult. Image segmentation techniques can be used to discriminate between objects via feature synthesis using deformable templates. This paper describes modifications to existing techniques commonly used to do real-time image segmentation for efficient hardware implementation. Edge detection and edge direction finding techniques may be used within the context of deformable templates for real-time automatic target recognition and tracking.

Citation Download Citation

Scott Burdette Anderson, Philip P. Dang, and Paul M. Chau "Configurable hardware for image segmentation", Proc. SPIE 3652, Machine Vision Applications in Industrial Inspection VII, (8 March 1999); https://doi.org/10.1117/12.341139

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