IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Estimation of Contour Properties by Cross-Validated Regularization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrating region growing ad edge detection for image analysis
Integrating region growing ad edge detection for image analysis
Picture Segmentation by a Tree Traversal Algorithm
Journal of the ACM (JACM)
On the optimal detection of curves in noisy pictures
Communications of the ACM
Algorithms for Graphics and Imag
Algorithms for Graphics and Imag
Fundamentals of Computer Alori
Fundamentals of Computer Alori
Image Interpretation Using Multiple Sensing Modalities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constrained Regularized Differentiation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian Segmentation Methodology for Parametric Image Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy logic based non-parametric color image segmentation with optional block processing
CSC '95 Proceedings of the 1995 ACM 23rd annual conference on Computer science
Extracting Salient Curves from Images: An Analysis of the Saliency Network
International Journal of Computer Vision
Quantitative evaluation of color image segmentation results
Pattern Recognition Letters
Game-Theoretic Integration for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Polynomial-time solutions to image segmentation
Proceedings of the seventh annual ACM-SIAM symposium on Discrete algorithms
General Scheme of Region Competition Based on Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Isophotes Selection and Reaction-Diffusion Model for Object Boundaries Estimation
International Journal of Computer Vision
Optimal Level Curves and Global Minimizers of Cost Functionals in Image Segmentation
Journal of Mathematical Imaging and Vision
Distributed Edge Detection: Issues and Implementations
IEEE Computational Science & Engineering
The Integration of Image Segmentation Maps using Region and Edge Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Game-Theoretic Approach to Integration of Modules
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing marbling in dry-cured Iberian ham by multiscale analysis
Pattern Recognition Letters
Strategies for image segmentation combining region and boundary information
Pattern Recognition Letters
Yet Another Survey on Image Segmentation: Region and Boundary Information Integration
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Level Lines as Global Minimizers of Energy Functionals in Image Segmentation
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Region-Boundary Cooperative Image Segmentation Based on Active Regions
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
From Parametric Warping to the Cooperation of Local Features and Global Models
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
An Integrated Approach for Surface Finding in Medical Images
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
Constraint Based Region Matching for Image Retrieval
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Sea Ice Boundary Detection in SAR Satellite Images Using Conflicting Strength
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
Improving retrieval performance by region constraints and relevance feedback
Journal of Computer Science and Technology
Seeded region growing: an extensive and comparative study
Pattern Recognition Letters
Real-time boundary detection for cricket game
Proceedings of the 3rd Australasian conference on Interactive entertainment
Journal of Mathematical Imaging and Vision
Trajectory fusion for three-dimensional volume reconstruction
Computer Vision and Image Understanding
International Journal of Remote Sensing
Computers and Industrial Engineering
Hierarchical SOMs: Segmentation of Cell-Migration Images
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A Real Time Vision System for Autonomous Systems: Characterization during a Middle Size Match
RoboCup 2007: Robot Soccer World Cup XI
Image Processing by Topological Asymptotic Expansion
Journal of Mathematical Imaging and Vision
Characterization of 3D shape parts for semantic annotation
Computer-Aided Design
Watershed segmentation with boundary curvature ratio based merging criterion
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Visual surface segmentation from stereo
Image and Vision Computing
Automatic seeded region growing for color image segmentation
Image and Vision Computing
Semantic annotation of 3D surface meshes based on feature characterization
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
Segmentation of X-ray microtomography images of soil using gradient masks
Computers & Geosciences
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Edge Detection by Adaptive Splitting
Journal of Scientific Computing
2D image registration in CT images using radial image descriptors
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
A modified edge-based region growing segmentation of geometric objects
IVIC'11 Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part I
Segmentation of interest objects using the hierarchical mesh structure
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
An improvement on competitive neural networks applied to image segmentation
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
An automatic image segmentation technique based on pseudo-convex hull
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Journal of Biomedical Imaging - Special issue on Mathematical Methods for Images and Surfaces 2011
3D image reconstruction of bladder by nonlinear interpolation
Mathematical and Computer Modelling: An International Journal
Segmenting focused objects based on the Amplitude Decomposition Model
Pattern Recognition Letters
A novel color image segmentation method based on improved region growing
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Transforming cluster-based segmentation for use in OpenVL by mainstream developers
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Computational Intelligence and Neuroscience
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A method that combines region growing and edge detection for image segmentation is presented. The authors start with a split-and merge algorithm wherein the parameters have been set up so that an over-segmented image results. Region boundaries are then eliminated or modified on the basis of criteria that integrate contrast with boundary smoothness, variation of the image gradient along the boundary, and a criterion that penalizes for the presence of artifacts reflecting the data structure used during segmentation (quadtree in this case). The algorithms were implemented in the C language on a Sun 3/160 workstation running under the Unix operating system. Simple tool images and aerial photographs were used to test the algorithms. The impression of human observers is that the method is very successful on the tool images and less so on the aerial photograph images. It is thought that the success in the tool images is because the objects shown occupy areas of many pixels, making it is easy to select parameters to separate signal information from noise.