A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
On active contour models and balloons
CVGIP: Image Understanding
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Geometric invariance in computer vision
Geometric invariants and object recognition
International Journal of Computer Vision
Clustering Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Occlusion-adaptive, content-based mesh design and forward tracking
IEEE Transactions on Image Processing
A recursive thresholding technique for image segmentation
IEEE Transactions on Image Processing
Hybrid image segmentation using watersheds and fast region merging
IEEE Transactions on Image Processing
Fast and accurate edge-based segmentation with no contour smoothing in 2-D real images
IEEE Transactions on Image Processing
EdgeFlow: a technique for boundary detection and image segmentation
IEEE Transactions on Image Processing
Optimizing block-thresholding segmentation for multilayer compression of compound images
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Invariant matching and identification of curves using B-splines curve representation
IEEE Transactions on Image Processing
Automatic target segmentation by locally adaptive image thresholding
IEEE Transactions on Image Processing
Video segmentation based on multiple features for interactive multimedia applications
IEEE Transactions on Circuits and Systems for Video Technology
Region-based representations of image and video: segmentation tools for multimedia services
IEEE Transactions on Circuits and Systems for Video Technology
Improved techniques for automatic image segmentation
IEEE Transactions on Circuits and Systems for Video Technology
Automated hierarchical image segmentation based on merging of quadrilaterals
ISCGAV'06 Proceedings of the 6th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Segmentation of small objects in color images
Programming and Computing Software
Image segmentation using information bottleneck method
IEEE Transactions on Image Processing
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This paper proposes a general quadrilateral-based framework for image segmentation, in which quadrilaterals are first constructed from an edge map, where neighboring quadrilaterals with similar features of interest are then merged together to form regions. Under the proposed framework, the quadrilaterals enable the elimination of local variations and unnecessary details for merging from which each segmented region is accurately and completely described by a set of quadrilaterals. To illustrate the effectiveness of the proposed framework, we derived an efficient and high-performance parameterless quadrilateral-based segmentation algorithm from the framework. The proposed algorithm shows that the regions obtained under the framework are segmented into multiple levels of quadrilaterals that accurately represent the regions without severely over or undersegmenting them. When evaluated objectively and subjectively, the proposed algorithm performs better than three other segmentation techniques, namely, seeded region growing, K--means clustering and constrained gravitational clustering, and offers an efficient description of the segmented objects conducive to content-based applications.