The *Morphological Snakes* are a family of related methods for image-guided evolution of curves and surfaces represented as a level-set of an embedding function. They have application in several computer vision areas, such as tracking and image segm
Recently gold nanoparticles (GNPs) have been actively studied as photothermal converters, drug carriers, and imaging agents in a wide range of applications in cancer diagnosis and therapy. The prolonged peroral administration of GNPs in a range of si
Due to traditional image mosaicing resulting in.remarkable seams, we propose a novel method to address.the problem to make the result more smooth. The approach.is constructed based on SIFT algorithm and morphological.component analysis(MCA) over trai
The rotation invariant feature of the target is obtained using the multi-direction feature extraction property of the steerable filter. Combining the morphological operation top-hat transform with the self-organizing feature map neural network, the a
A new multi-focus image fusion method using spatial frequency (SF) and morphological operators is proposed. Firstly, the focus regions are detected using SF criteria. Then the morphological operators are used to smooth the regions. Finally the fused
An adaptive multi-scale method based on the combination generalized morphological filter (CGMF) is presented for de-noising of the output signal from a MEMS gyroscope. A variational mode decomposition is employed to decompose the original signal into
