Fig. 5: Improvement of target recognition performance by size-selective image processing and denoising.

a The accuracy comparison between uniform edge-detected images (black line) and size-selective edge-detected images (red line) shows that size-selective edge detection achieves 90% recognition accuracy after 59 epochs, while uniform edge detection requires 112 epochs to reach the same level (green line). b Comparison of the recognition accuracy of the noisy images (black line) and the denoised images (red line). The accuracy of the noisy image is about 40%, while the accuracy of the denoised image rapidly increases to 96%. This shows that denoising significantly improves recognition accuracy. c The recognition accuracy of the uniform edge-detected images with noise (blue line), size-selective edge-detected images with noise (black line), and size-selective edge-detected images after denoising (red line) is 90%, 33%, and 22.5%, respectively. Representative datasets for the tasks are shown at the bottom.