We propose a method to realize robust real-time shape recognition against noise and occlusion by using information of an entire image, and by performing image processing in a pixel parallel manner. The evaluation by simulation showed that the proposed method was effective for images with noise or partially occluded images. We implemented the algorithm to a vision chip which performs pixel-parallel processing and confirmed real-time operation. We also estimated the performance of the method on an ideal processor.
An on-chip imaging droplet-sorting system: a real-time shape recognition method to screen target cells in droplets with single cell resolution