S Mandal, V Uhlmann - 2021 IEEE 18th International …, 2021 - ieeexplore.ieee.org
We present SplineDist, an instance segmentation convolutional neural network for bioimages extending the popular StarDist method. While StarDist describes objects as …
Big Data are highly effective for systematically extracting and analyzing massive data. It can be useful to manage data proficiently over the conventional data handling approaches …
S Pei, L Li, L Ye, Y Dong - IEEE Access, 2020 - ieeexplore.ieee.org
Foreground-background separation of surveillance video, that models static background and extracts moving foreground simultaneously, attracts increasing attentions in building a …
J Deng, X Xie - IEEE Transactions on Image Processing, 2021 - ieeexplore.ieee.org
Segmenting complex 3D geometry is a challenging task due to rich structural details and complex appearance variations of target object. Shape representation and foreground …
This paper proposes a new class of B-spline-like functions that blend trigonometric and hyperbolic functions. A new family of non-stationary subdivision schemes of order k≥ 3 has …
In this paper, two new families of non-stationary subdivision schemes are introduced. The schemes are constructed from uniform generalized B-splines with multiple knots of orders 3 …
We present a new segmentation method that leverages latent photographic information available at the moment of taking pictures. Photography on a portable device is often done …
This paper deals with the resolution of inverse problems in a periodic setting or, in other terms, the reconstruction of periodic continuous-domain signals from their noisy …
We present a texture-driven parametric snake for semi-automatic segmentation of a single and closed structure in an image. We propose a new energy functional that combines …