A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coping with Discontinuities in Computer Vision: Their Detection, Classification, and Measurement
IEEE Transactions on Pattern Analysis and Machine Intelligence
On active contour models and balloons
CVGIP: Image Understanding
Geometrically deformed models: a method for extracting closed geometric models form volume data
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
A fast, simple active contour algorithm for biomedical images
Pattern Recognition Letters
A contour detection method: initialization and contour model
Pattern Recognition Letters
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Genetic Snakes for Medical Images Segmentation
EvoIASP '99/EuroEcTel '99 Proceedings of the First European Workshops on Evolutionary Image Analysis, Signal Processing and Telecommunications
Improving the Original Dual-T-Snakes Model
SIBGRAPI '01 Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing
Topologically adaptable snakes
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Topologically adaptable deformable models for medical image analysis
Topologically adaptable deformable models for medical image analysis
Automatic extraction of head and face boundaries and facial features
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Parameterization-free active contour models with topology control
The Visual Computer: International Journal of Computer Graphics
Loop Snakes: Snakes with Enhanced Topology Control
SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
Facial feature localization based on an improved active shape model
Information Sciences: an International Journal
Fourier-based geometric shape prior for snakes
Pattern Recognition Letters
A Moving Grid Framework for Geometric Deformable Models
International Journal of Computer Vision
Quasi-automatic initialization for parametric active contours
Pattern Recognition Letters
Tongue shape classification by geometric features
Information Sciences: an International Journal
A hybrid genetic algorithm with the Baldwin effect
Information Sciences: an International Journal
Orthogonal variant moments features in image analysis
Information Sciences: an International Journal
Polar snakes: a fast and robust parametric active contour model
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
B-spline snakes: a flexible tool for parametric contour detection
IEEE Transactions on Image Processing
A novel quantum inspired cuckoo search for knapsack problems
International Journal of Bio-Inspired Computation
Efficient visual tracking using particle filter with incremental likelihood calculation
Information Sciences: an International Journal
Solving 0-1 knapsack problems by a discrete binary version of cuckoo search algorithm
International Journal of Bio-Inspired Computation
Pattern Recognition and Image Analysis
Information Sciences: an International Journal
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The aim of this work is to propose an improved intensive restraint topology adaptive snake model for detecting and tracking target contours with complex topological morphology from dynamic gray-scale image sequences. The image is discretized by orthogonal equidistant grid lines and snake nodes are constrained to move only from one grid vertex to another along grid lines. Thus, the computation is much simpler than those of other T-snakes since complicated calculation of intersection points of snake curve and grid lines is not required. Topological transformation is implemented through splitting snake nodes as well as automatically detecting and eliminating topological collision. An adaptive weighted expansion energy term is introduced into snake's energy function driving the model to pass across the region with non-uniform intensity distribution inside the target region. The required manual interaction is reduced to only select a random point within the target region in the first frame of the image sequence. For subsequent frames, the detection result in the previous frame is regarded as the initial model in the current frame. Through experiments on simulated image data and clinical X-ray coronary angiographic sequences, the model's topological flexibility and lower computation cost compared with other T-snakes are demonstrated. Also, the sensitivity of the model to weights of the energy terms and grid size as well as the initial plan of the model is discussed based on experimental results.