Multiresolution-based watersheds for efficient image segmentation
Pattern Recognition Letters
Time-Continuous Segmentation of Cardiac Image Sequences Using Active Appearance Motion Models
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
A Wavelet-Based Preprocessing for Moving Object Segmentation in Video Sequences
WAA '01 Proceedings of the Second International Conference on Wavelet Analysis and Its Applications
Design and Analysis of an Efficient Evolutionary Image Segmentation Algorithm
Journal of VLSI Signal Processing Systems
A novel multiresolution fuzzy segmentation method on MR image
Journal of Computer Science and Technology
Rotationally invariant filter bank for pattern recognition of noisy images
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Segmentation of Left Ventricle in Cardiac Cine MRI: An Automatic Image-Driven Method
FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
Rough fuzzy set based scale space transforms and their use in image analysis
International Journal of Approximate Reasoning
Non-local spatial spectral clustering for image segmentation
Neurocomputing
Colour image segmentation using fuzzy clustering techniques and competitive neural network
Applied Soft Computing
A conditional random field approach to unsupervised texture image segmentation
EURASIP Journal on Advances in Signal Processing
A novel fuzzy segmentation approach for brain MRI
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Circulation and topological control in image segmentation
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
The study of the auto color image segmentation
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
CLASSIC: consistent longitudinal alignment and segmentation for serial image computing
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Resolution pyramids on the FCC and BCC grids
DGCI'05 Proceedings of the 12th international conference on Discrete Geometry for Computer Imagery
A new fuzzy segmentation approach based on S-FCM type 2 using LBP-GCO features
Image Communication
A Modified Watershed Segmentation Method to Segment Renal Calculi in Ultrasound Kidney Images
International Journal of Intelligent Information Technologies
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In this paper, an unsupervised image segmentation technique is presented, which combines pyramidal image segmentation with the fuzzy c-means clustering algorithm. Each layer of the pyramid is split into a number of regions by a root labeling technique, and then fuzzy c-means is used to merge the regions of the layer with the highest image resolution. A cluster validity functional is used to find the optimal number of objects automatically. Segmentation of a number of synthetic as well as clinical images is illustrated and two fully automatic segmentation approaches are evaluated, which determine the left ventricular volume (LV) in 140 cardiovascular magnetic resonance (MR) images. First fuzzy c-means is applied without pyramids. In the second approach the regions generated by pyramidal segmentation are merged by fuzzy c-means. The correlation coefficients of manually and automatically defined LV lumen of all 140 and 20 end-diastolic images were equal to 0.86 and 0.79, respectively, when images were segmented with fuzzy c-means alone. These coefficients increased to 0.90 and 0.93 when the pyramidal segmentation was combined with fuzzy c-means. This method can be applied to any dimensional representation and at any resolution level of an image series. The evaluation study shows good performance in detecting LV lumen in MR images