Competitive learning algorithms for vector quantization
Neural Networks
Three-dimensional image segmentation using a split, merge and group approach
Pattern Recognition Letters
A segmentation algorithm for color images
Pattern Recognition Letters
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
The combination of edge detection and region extraction in nonparametric color image segmentation
Information Sciences: an International Journal
Region-based coding of color images using Karhunen-Loeve transform
Graphical Models and Image Processing
A comparison of clustering algorithms applied to color image quantization
Pattern Recognition Letters - special issue on pattern recognition in practice V
Quantitative evaluation of color image segmentation results
Pattern Recognition Letters
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Segmentation of Color-Texture Regions in Images and Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Modeling of Colour Data
International Journal of Computer Vision
Digital Image Processing
Color Image Segmentation for Multimedia Applications
Journal of Intelligent and Robotic Systems
Color image segmentation using fuzzy C-means and eigenspace projections
Signal Processing
Statistical color models with application to skin detection
International Journal of Computer Vision
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
Multiresolution Color Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and Robust Segmentation of Natural Color Scenes
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume I - Volume I
A Fast Hybrid Color Segmentation Method
Mustererkennung 1993, Mustererkennung im Dienste der Gesundheit, 15. DAGM-Symposium
Cancerous nuclei detection on digitized pathological lung color images
Journal of Biomedical Informatics
Mean Shift Analysis and Applications
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Focus-of-Attention from Local Color Symmetries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining spatial and colour information for content based image retrieval
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
EdgeFlow: a technique for boundary detection and image segmentation
IEEE Transactions on Image Processing
Adaptive color segmentation-a comparison of neural and statistical methods
IEEE Transactions on Neural Networks
A robust approach to segment desired object based on salient colors
Journal on Image and Video Processing - Color in Image and Video Processing
Colour saliency-based parameter optimisation for adaptive colour segmentation
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Color image segmentation based on regional saliency
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
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This paper proposes a goodness function for colour segmentation, which allows to predict whether the segmented regions will be stable against noise, variation of lighting, and change of viewpoint. As such a measure, colour saliency defined from average border contrast is proposed. While the idea to maximise border contrast in segmentation is not novel per se, it is shown here empirically that maximisation of border contrast indeed leads to improved region stability. Experiments for three different algorithms show that the effect is independent of the particular functional principle of segmentation. Thus, the measure can be applied for the automatic and context-free optimisation of segmentation parameters.