Image Analysis Using Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Detection of the Axes of Symmetry of Symmetric and Almost Symmetric Planar Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of VLSI Signal Processing Systems
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
Detecting Symmetry in Grey Level Images: The Global Optimization Approach
International Journal of Computer Vision
Connectivity in Digital Pictures
Journal of the ACM (JACM)
The Intensity Axis of Symmetry and Its Application to Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finding Symmetry in Intensity Images TITLE2:
Finding Symmetry in Intensity Images TITLE2:
A note on the iterative object symmetry transform
Pattern Recognition Letters
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
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This paper introduces a new mechanism that consists of applying a symmetry operator on an iteratively transformed version of the input image. The nature of the transformation characterizes the operator. Here, we consider the Object Symmetry Transform combined with the morphological operator erosion and the pyramid decimation respectively. The derived operators have been applied on both binary and gray levels images, comparing their ability to grasp the internal structure of a digital object. We present some experiments to evaluate their performances and check them for result quality versus computing complexity.