A Computational Approach to 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
Quad-tree segmentation for texture-based image query
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Retrieval
Digital Image Processing Algorithms and Applications
Digital Image Processing Algorithms and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
Topology driven 3D mesh hierarchical segmentation
SMI '07 Proceedings of the IEEE International Conference on Shape Modeling and Applications 2007
A learning state-space model for image retrieval
EURASIP Journal on Applied Signal Processing
Semi-supervised statistical region refinement for color image segmentation
Pattern Recognition
IEEE Transactions on Multimedia
DISCOV: A Framework for Discovering Objects in Video
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
Level set analysis for leukocyte detection and tracking
IEEE Transactions on Image Processing
A downstream algorithm based on extended gradient vector flow field for object segmentation
IEEE Transactions on Image Processing
Scale Space Analysis and Active Contours for Omnidirectional Images
IEEE Transactions on Image Processing
Improved techniques for automatic image segmentation
IEEE Transactions on Circuits and Systems for Video Technology
Predictive watershed: a fast watershed algorithm for video segmentation
IEEE Transactions on Circuits and Systems for Video Technology
Novel Noncontrast-Based Edge Descriptor for Image Segmentation
IEEE Transactions on Circuits and Systems for Video Technology
Binary Partition Tree for Semantic Object Extraction and Image Segmentation
IEEE Transactions on Circuits and Systems for Video Technology
Estimating correspondence between arbitrarily selected points in two widely-separated views
Advanced Engineering Informatics
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
A robust fully automatic scheme for general image segmentation
Digital Signal Processing
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Image segmentation has become an indispensable task in many image and video applications. This work develops an image segmentation method based on the modified edge-following scheme where different thresholds are automatically determined according to areas with varied contents in a picture, thus yielding suitable segmentation results in different areas. First, the iterative threshold selection technique is modified to calculate the initial-point threshold of the whole image or a particular block. Second, the quad-tree decomposition that starts from the whole image employs gray-level gradient characteristics of the currently-processed block to decide further decomposition or not. After the quad-tree decomposition, the initial-point threshold in each decomposed block is adopted to determine initial points. Additionally, the contour threshold is determined based on the histogram of gradients in each decomposed block. Particularly, contour thresholds could eliminate inappropriate contours to increase the accuracy of the search and minimize the required searching time. Finally, the edge-following method is modified and then conducted based on initial points and contour thresholds to find contours precisely and rapidly. By using the Berkeley segmentation data set with realistic images, the proposed method is demonstrated to take the least computational time for achieving fairly good segmentation performance in various image types.