Engineering
Active Contour
90%
Automatic Target Detection
30%
Biological Tissue
30%
Blind Signal Separation
30%
Cartesian Coordinate
30%
Cholinergic
30%
Classical Method
30%
Comparative Analysis
45%
Conventional Method
30%
Convolutional Neural Network
69%
Curve Evolution
30%
Decision Function
30%
Deconvolution
30%
Deep Learning
47%
Directional Information
60%
Early Detection
30%
Energy Engineering
45%
Experimental Result
69%
Fiber Orientation
30%
Geodesic Active Contour Model
30%
Geometric Feature
30%
Global Scale
30%
Gradient Descent
30%
Gradient Field
30%
Gradient Vector
75%
Image Domain
75%
Image Noise
45%
Independent Component Analysis
30%
Level Set
30%
Limitations
30%
Magnetic Field
30%
Medical Image Segmentation
30%
Multiscale
30%
Network Model
37%
Nodes
75%
Performance Improvement
30%
Pixel Level
30%
Polar Coordinate
75%
Real Image
30%
Realization
30%
Regularization
30%
Scale Parameter
30%
Scale Space
30%
Segmentation Technique
30%
Single Channel
30%
Sparse Approximation
30%
State-of-the-Art Technique
30%
Surveillance System
30%
Target Object
30%
Vector Field
90%
Keyphrases
Active Contour
90%
Adaptive Denoising
30%
Artificial Images
30%
Aspergillus
30%
Camera Shake
30%
Channel Selection Algorithm
30%
Closed Set
45%
Comparative Analysis
45%
Conidia
30%
Curve Evolution
30%
Denoising Method
30%
Diffusion Distribution
30%
Edge-based
30%
Electron Microscopy
30%
Entropy-based Approach
30%
Evolutionary Method
30%
Feature-based
30%
Field Diffusion
45%
Geodesic Active Contour Model
30%
Graph-based Segmentation
60%
Image Domain
45%
Image Features
45%
Image Segmentation
37%
Industry 4.0 (I4.0)
30%
Information Extraction
30%
Lumen
37%
Magnetic Resonance Imaging
30%
Orientation Density Function
30%
Orientation Distribution Function
30%
Parkinson's Disease Dementia
30%
Polar Coordinates
45%
Poor Contrast
30%
Rayleigh
30%
Real Image
45%
Regularizer
30%
Segmentation Method
45%
Semi-automated
30%
Single Point
45%
Sparse Approximation
30%
Species Recognition
30%
Stability Approach
30%
Star Shape Prior
75%
Stopping Function
30%
Tensor Diffusion
30%
Training Set
39%
Vector Field
60%
Vector Interaction
45%
Vector Potential
30%
Weakly Supervised Object Localization
30%
Weighted Directed Graph
45%
Computer Science
Active Contour
90%
Active Contour Model
30%
Actual Situation
30%
Annotation
30%
Bipartite Graph
30%
Comparative Analysis
45%
Convolutional Neural Network
100%
Data Classification
30%
de-noising
30%
Deep Learning
60%
Deep Learning Technique
39%
Deformable Convolution
30%
Density Function
30%
Diffusion Tensor
30%
diffusion-weighted imaging
30%
Directed Graphs
45%
Early Detection
30%
Experimental Result
53%
Geodesic Active Contour
30%
Geometric Information
30%
Gradient Vector
30%
image feature
45%
Image Gradient
45%
Image Noise
15%
Image Segmentation
45%
Independent Component Analysis
30%
Industry 4.0
30%
Information Extraction
30%
Infrared Thermography
15%
Manual Approach
30%
Minimum Description Length
30%
Network Topology
30%
Object Recognition
34%
Parkinson's Disease
30%
Polar Coordinate
45%
Recognition System
45%
Regularization
15%
Scale Parameter
30%
Scene Analysis
30%
Segmentation Method
15%
Selection Method
30%
Sparse Approximation
30%
Superior Performance
20%
Superpixel
30%
Time Information
30%
Traditional Method
29%
Traffic Analysis
30%
User Interaction
30%
Vector Potential
30%
video surveillance system
30%
