An improved approach for medical image fusion using sparse representation and Siamese convolutional neural network
Multimodal image fusion is a contemporary branch of medical imaging that aims to increase
the accuracy of clinical diagnosis of the disease stage development. The fusion of different …
the accuracy of clinical diagnosis of the disease stage development. The fusion of different …
Coherent and noncoherent dictionaries for action recognition
In this letter, we propose sparsity-based coherent and noncoherent dictionaries for action
recognition. First, the input data are divided into different clusters and the number of clusters …
recognition. First, the input data are divided into different clusters and the number of clusters …
JCS: An explainable surface defects detection method for steel sheet by joint classification and segmentation
S Zhou, H Liu, K Cui, Z Hao - IEEE Access, 2021 - ieeexplore.ieee.org
For surface defect images that captured from a practical steel production line, different
shape, size, location and texture of defect object may cause inter-class similarity and intra …
shape, size, location and texture of defect object may cause inter-class similarity and intra …
High frequency assisted fusion for infrared and visible images through sparse representation
Z Wang, X Bai - Infrared Physics & Technology, 2019 - Elsevier
In this paper, an improved fusion method based on sparse representation is proposed to
restrain the defects of infrared and visible image fusion, such as blocking artifact, edge blur …
restrain the defects of infrared and visible image fusion, such as blocking artifact, edge blur …