Translator Disclaimer
19 February 1988 Multi-Pipeline Architecture For Real-Time Low-Level Image Processing
Author Affiliations +
Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988)
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States
We shall present two kinds of multi-pipeline architecture for real-time low-level image processing. The first one is to be used in the general local operations of image processing with a fixed 3*3 window size. The second one is to be used in a less general local operations with a dynamic window size. The image processing functions executable in these architectures include Sobel edge operator, Laplacian high-pass filter, smoothing operation, erosion, and dilation, etc. The raw image is inputted into the frame buffer of the parallel processor. Different schemes are designed to set up the data flow path among the processing elements or cells.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Z. Chen, C. C. Chang, S. Y. Lin, and R. H . Hwang "Multi-Pipeline Architecture For Real-Time Low-Level Image Processing", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988);


Large object extraction for binary images on the GPU
Proceedings of SPIE (February 19 2013)
Real-Time Feature Extraction Using Moment Invariants
Proceedings of SPIE (March 27 1987)
Weighted Hough transform
Proceedings of SPIE (February 01 1992)

Back to Top