Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Edge Detection and Ridge Detection with Automatic Scale Selection
International Journal of Computer Vision
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
Gaussian Scale-Space Theory
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
Single color extraction and image query
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
Subpixel-Precise Extraction of Watersheds
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Front-End Vision and Multi-Scale Image Analysis: Multi-scale Computer Vision Theory and Applications, written in Mathematica
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
IEEE Transactions on Image Processing
Robust photometric invariant features from the color tensor
IEEE Transactions on Image Processing
Object detection with feature stability over scale space
Journal of Visual Communication and Image Representation
Color Blob and line detection in scale-space
Pattern Recognition and Image Analysis
Detecting structure in diffusion tensor MR images
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
A sparse curvature-based detector of affine invariant blobs
Computer Vision and Image Understanding
Scale-space color blob and ridge detection
Pattern Recognition and Image Analysis
Use of color information for keypoints detection and descriptors construction
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
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In this paper, we propose a novel and efficient framework for the extension of multi-scale blob detection for the color domain to prevent information loss due to gray scale transformation and to allow us to exploit the photometric information. The framework also works well in gray scale space, it is mostly composed of i) a weighted multi-scale blob detector using a hybrid Laplacian and determinant of the Hessian operator, ii) a blob filter, includes a color-based Forstner operator for roundness calculation and a hue-based color histogram. The experimental results on stamp images in blob detection demonstrate the effectiveness of our proposed detector.