A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Behavior of Edges in Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D edge detection using recursive filtering: application to scanner images
CVGIP: Image Understanding
Adaptive Determination of Filter Scales for Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A multi-scale approach to nonuniform diffusion
CVGIP: Image Understanding
A zero-crossing-based optimal three-dimensional edge detector
CVGIP: Image Understanding
Using partial derivatives of 3D images to extract typical surface features
Computer Vision and Image Understanding
From volume medical images to quadratic surface patches
Computer Vision and Image Understanding
Local Scale Control for Edge Detection and Blur Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
Geometry-Driven Diffusion in Computer Vision
Geometry-Driven Diffusion in Computer Vision
Gaussian Scale-Space Theory
Multiscale Segmentation of Three-Dimensional MR Brain Images
International Journal of Computer Vision
Frequency Analysis of Gradient Estimators in Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
A Review of Nonlinear Diffusion Filtering
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
Line detection in range images
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
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Multiscale analysis is often required in image processing applications because image features are optimally detected at different levels of resolution. With the advance of high-resolution 3D imaging, the extension of multiscale analysis to higher dimensions is necessary. This paper extends an existing 2D scale selection method, known as the minimum reliable scale, to 3D volumetric images. The method is applied to 3D boundary detection and is illustrated in examples from biomedical imaging. The experimental results show that the 3D scale selection improves the detection of edges over single scale operators using as few as three different scales.