On the Detection of the Axes of Symmetry of Symmetric and Almost Symmetric Planar Images
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
Context-free attentional operators: the generalized symmetry transform
International Journal of Computer Vision - Special issue on qualitative vision
Local operators to detect regions of interest
Pattern Recognition Letters - special issue on pattern recognition in practice V
Shape-based features for cat ganglion retinal cells classification
Real-Time Imaging
Content-Based Indexing of Image and Video Databases by Global and Shape Features
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Finding Symmetry in Intensity Images TITLE2:
Finding Symmetry in Intensity Images TITLE2:
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
The S-kernel: A measure of symmetry of objects
Pattern Recognition
Iterative symmetry detection: Shrinking vs. decimating patterns
Integrated Computer-Aided Engineering
S_Kernel: a new symmetry measure
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
The s-kernel and a symmetry measure based on correlation
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
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This paper introduces a new operator named the iterated object transform that is computed by combining the object symmetry transform with the morphological operator erosion. This new operator has been applied on both binary and gray levels images showing the ability to grasp the internal structure of a digital object. We present also some experiments on artificial and real images and potential applications.