Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
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IEEE Transactions on Pattern Analysis and Machine Intelligence
Relations Between Regularization and Diffusion Filtering
Journal of Mathematical Imaging and Vision
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Journal of Mathematical Imaging and Vision
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SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
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ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Image scale-space from the heat kernel
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IEEE Transactions on Image Processing
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IEEE Transactions on Image Processing
Anti-geometric diffusion for adaptive thresholding and fast segmentation
IEEE Transactions on Image Processing
Shape extraction via heat flow analogy
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Moving-edge detection via heat flow analogy
Pattern Recognition Letters
On using physical analogies for feature and shape extraction in computer vision
VoCS'08 Proceedings of the 2008 international conference on Visions of Computer Science: BCS International Academic Conference
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In this paper, an intelligent and automatic moving object edge detection algorithm is proposed, based on heat flow analogy. This algorithm starts with anisotropic heat diffusion in the spatial domain to remove noise and sharpen region boundaries for the purpose of obtaining high quality edge data. Then, isotropic heat diffusion is applied in the temporal domain to calculate the total amount of heat flow. The moving edges are represented as the total amount of heat flow out from the reference frame. The overall process is completed by non-maxima suppression and hysteresis thresholding to obtain binary moving edges. Evaluation results indicate that this approach has advantages in handling noise in the temporal domain because of the averaging inherent of isotropic heat flow. Results also show that this technique can detect moving edges in image sequences.