Automatic seeded region growing for color image segmentation

Authors:
Frank Y. Shih;Shouxian Cheng
Affiliations:
Computer Vision Laboratory, College of Computing Sciences, New Jersey Institute of Technology, Newark, NJ 07102, USA;Computer Vision Laboratory, College of Computing Sciences, New Jersey Institute of Technology, Newark, NJ 07102, USA
Venue:
Image and Vision Computing
Year:
2005

Citing 19
Cited 35

Edgel-aggregation and edge-description

Computer Vision, Graphics, and Image Processing
Integrating Region Growing and Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations

IEEE Transactions on Pattern Analysis and Machine Intelligence
Morphological multiscale segmentation for image coding

Proceedings of of the IEEE winter workshop on Nonlinear digital signal processing
Geodesic Saliency of Watershed Contours and Hierarchical Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
An improved seeded region growing algorithm

Pattern Recognition Letters
An application of heuristic search methods to edge and contour detection

Communications of the ACM
Unsupervised Segmentation of Color-Texture Regions in Images and Video

IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimum Image Thresholding via Class Uncertainty and Region Homogeneity

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Detection in Color Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Segmentation by Unifying Region and Boundary Information

IEEE Transactions on Pattern Analysis and Machine Intelligence
The Integration of Image Segmentation Maps using Region and Edge Information

IEEE Transactions on Pattern Analysis and Machine Intelligence
Seeded Region Growing

IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive mathematical morphology for edge linking

Information Sciences—Informatics and Computer Science: An International Journal
Digital Image Processing (3rd Edition)

Digital Image Processing (3rd Edition)
Face detection using quantized skin color regions merging andwavelet packet analysis

IEEE Transactions on Multimedia
Region growing: a new approach

IEEE Transactions on Image Processing
Fuzzy homogeneity approach to multilevel thresholding

IEEE Transactions on Image Processing
Automatic image segmentation by integrating color-edge extraction and seeded region growing

IEEE Transactions on Image Processing

Segmentation of small objects in color images

Programming and Computing Software
Efficient edge-preserving algorithm for color contrast enhancement with application to color image segmentation

Journal of Visual Communication and Image Representation
An effective defect inspection system for polarized film images using image segmentation and template matching techniques

Computers and Industrial Engineering
Effective Segmentation for Dental X-Ray Images Using Texture-Based Fuzzy Inference System

ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Learning a color distance metric for region-based image segmentation

Pattern Recognition Letters
Towards Automatic Image Segmentation Using Optimised Region Growing Technique

AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Colors of the past: color image segmentation in historical topographic maps based on homogeneity

Geoinformatica
Exploit camera metadata for enhancing interesting region detection and photo retrieval

Multimedia Tools and Applications
Entropy regularization, automatic model selection, and unsupervised image segmentation

PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Image segmentation using automatic seeded region growing and instance-based learning

CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Automatic k-means for color enteromorpha image segmentation

IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Unsupervised colour image segmentation using dual-tree complex wavelet transform

Computer Vision and Image Understanding
An automatic region-based image segmentation algorithm for remote sensing applications

Environmental Modelling & Software
Fast segmentation of porcelain images based on texture features

Journal of Visual Communication and Image Representation
A two-level strategy for segmenting center of interest from pictures

Expert Systems with Applications: An International Journal
Multi-seed segmentation of tomographic volumes based on fuzzy connectedness

ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Non-local spatial spectral clustering for image segmentation

Neurocomputing
Learning a nonlinear distance metric for supervised region-merging image segmentation

Computer Vision and Image Understanding
Object distance estimation based on stereo vision and color segmentation with region matching

ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part III
Saliency-directed color image segmentation using modified particle swarm optimization

Signal Processing
Automatic segmentation of digitalized historical manuscripts

Multimedia Tools and Applications
Seeded region merging based on gradient vector flow for image segmentation

ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
A faster graph-based segmentation algorithm with statistical region merge

ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Unsupervised image segmentation using an iterative entropy regularized likelihood learning algorithm

ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
An algorithm on extraction of saline-alkalized land by image segmentation based on ETM+Image

ICCSA'06 Proceedings of the 6th international conference on Computational Science and Its Applications - Volume Part I
2012 Special Issue: Using GNG to improve 3D feature extraction-Application to 6DoF egomotion

Neural Networks
Archaeological trace extraction by a local directional active contour approach

Pattern Recognition
A study of a soft computing based method for 3D scenario reconstruction

Applied Soft Computing
Hierarchical classification-based region growing (HCBRG): a collaborative approach for object segmentation and classification

ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Colorization of CT images to improve tissue contrast for tumor segmentation

Computers in Biology and Medicine
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
A stochastic gravitational approach to feature based color image segmentation

Engineering Applications of Artificial Intelligence
A view-invariant and anti-reflection algorithm for car body extraction and color classification

Multimedia Tools and Applications
Automatic image segmentation using constraint learning and propagation

Digital Signal Processing
A robust and fast method for 6DoF motion estimation from generalized 3D data

Autonomous Robots

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present an automatic seeded region growing algorithm for color image segmentation. First, the input RGB color image is transformed into YC"bC"r color space. Second, the initial seeds are automatically selected. Third, the color image is segmented into regions where each region corresponds to a seed. Finally, region-merging is used to merge similar or small regions. Experimental results show that our algorithm can produce good results as favorably compared to some existing algorithms.