Titlebook: Image Analysis and Recognition; 16th International C Fakhri Karray,Aurélio Campilho,Alfred Yu Conference proceedings 2019 Springer Nature S

CHASM

CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter Performanceeter value using a Convolutional Neural Network (CNN). We take the use case of BM3D, the state-of-the-art filtering-based denoising algorithm, to demonstrate and validate our approach. We propose and train a simple, shallow CNN to predict in real time, the optimum filter parameter value, given the i

针叶树

APNEA

Fitting Smooth Manifolds to Point Clouds in a Level Set Formulationplications, one’s knowledge of the shapes of real-life objects is obtained through discrete measurements, which are subsequently converted into their continuous counterparts through the process of either curve or surface fitting, depending on the object dimensionality. Unfortunately, the measurement

Occupation

KFBin: Kalman Filter-Based Approach for Document Image Binarizatione. In the first step, a state space model is developed as a new document image representation, and then the Kalman filter is applied to track the positions of the foreground and background information and generate two corresponding outputs, which allows the enhancement of the foreground content lead

一骂死割除

不朽中国

An Improved Simulated Annealing Approach for Reconstructing Binary Images with Fixed Number of Stripcolumn. Knowing that the problem is NP-hard, in one of our recent papers (Szűcs, J., Balázs, P.: Variants of simulated annealing for strip constrained binary tomography, LNCS 10986, p. 82–92, 2019) we proposed variants of Simulated Annealing to solve this issue. However, in the same time we revealed

努力赶上

WaveM-CNN for Automatic Recognition of Sub-cellular Organellesly, multi-resolution analysis based on wavelet decomposition and convolution neural network (CNN) are combined in the architecture. In each wavelet transformed sub-space, discriminative features are extracted by convolution kernels to provide various pattern characteristics of the same organelle. Th

绝缘

ABHOR

小淡水鱼

Proximal Splitting Networks for Image Restoration end-to-end one whose run time matches the previous fastest algorithms while outperforming them in recovery fidelity on two image restoration tasks. Indeed, we find our approach achieves state-of-the-art results on benchmarks in image denoising and image super resolution while recovering more comple