Ting Cao

Enhancing Shape Perception and Segmentation Consistency for Industrial Image Inspection

Ting Cao, Ziyang Li, Yuan Dong

Semantic segmentation stands as a pivotal research focus in computer vision. In the context of industrial image inspection, conventional semantic segmentation models fail to maintain the segmentation consistency of fixed components across varying contextual environments due to a lack of perception of …

Enhancing Shape Perception and Segmentation Consistency for Industrial Image Inspection

Ting Cao, Ziyang Li, Yuan Dong

Semantic segmentation stands as a pivotal research focus in computer vision. In the context of industrial image inspection, conventional semantic segmentation models fail to maintain the segmentation consistency of fixed components across varying contextual environments due to a lack of perception of …

cn (code pays fourni par la source)

Multi-focus image fusion based on gradient tensor HOSVD

Puming Wang, Ting Cao, Xue Li, Xin Jin et autres

Multi-focus image fusion is the process of fusing images of the same scene with different focus ranges. However, pixel misclassification and artifacts caused by noise have been unavoidable problems in fusion methods. To overcome this problem, we propose gradient tensor high-order singular …

cn (code pays fourni par la source)

DDF-GAN: A Generative Adversarial Network with Dual-Discriminator for Multi-Focus Image Fusion

Shiyu Chen, Xin Jin, Qian Jiang, Jie ming Yang et autres

Multi-focus image fusion can overcome the issues that optical lens imaging cannot focus multiple targets simultaneously due to the depth of field limitation. In this paper, we propose a generative adversarial network (DDF-GAN) which consists of a generator and two discriminators to …

cn (code pays fourni par la source)