Investigation of Transient Electronics Dissolution Process Based on Artificial Intelligence
Pu Chen, Zhiyuan Zhu · 2021 IEEE 3rd International Conference on Frontiers Technology of Information and Computer (ICFTIC) · 2021
The processing of image saliency is widely used in image retrieval, image compression, image video and other fields. In the field of national defense, it involves the self-destruct function of electronic products and the transient dissolution of substrates. In order to keep this process confidential, the researchers used image saliency processing to monitor whether the substrate was significant in the transient dissolution process, find out the defects, and further improve it. In the image saliency processing, according to the difference of the contrast area, it is divided into local and global algorithms. This article first improves the AC algorithm used for local comparison in the distance calculation method, weighting coefficient and multi-scale, and then compares the RC algorithm used for the global comparison Use image pre-segmentation algorithm improvement and significant center position optimization for analysis and improvement. And through the final experimental results, it is proved that the improved algorithm has a better effect in the processing of image saliency, and it also has obvious advantages in precision rate and recall rate.