Processing of variable size images on a cellular array: Performance analysis with the Abingdon Cross Benchmark
Handling a continuous flow of variable size images is a requirement for real time computer vision machines. A modular system based on a small size SIMD cellular array of 1-bit processing elements has been developed with this goal in mind and it is now evaluated against the Abingdon Cross Benchmark specifications. The benchmark tests the combination of algorithms and architecture and generates a quality factor expressed as the ratio of the image lateral size and the processing time. The examined machine supports an efficient means to automatically partition, process and reconstruct images larger than the array size. The authors briefly describe the system, discuss the selected algorithms and present performance results and estimates for several system configurations.<<ETX>>