1. Introduction The segmentation consists to detecting the objects or classes of objects which constitute an image. This decomposition is one of the most difficult tasks of the machine analysis of images [9, 10]
Remote sensing image segmentation advances: A meta-analysis. ISPRS J. Photogram. Remote Sens. 173, 309–322. https://doi.org/10.1016/j.isprsjprs.2021.01.020 (2021). 36. Chen, L. et al. Remote sensing image super-resolution via residual aggregation and...
Due to its excellent performance and parallelization accessibility, it has become the state-of-the-art technology for various vision tasks such as target detection and image segmentation. The core idea of the Swin Trans- former is to compute self-attention within a non-overlapping movable window,...
Aiming at the low recognition effect of apple images captured in a natural scene, and the problem that the OTSU algorithm has a single threshold, lack of adaptability, easily caused noise interference, and over-segmentation, an apple image recognition multi-objective method based on the adaptive ...