Digital image processing
Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
A Pyramid Framework for Early Vision: Multiresolutional Computer Vision
A Pyramid Framework for Early Vision: Multiresolutional Computer Vision
Extracting plane graphs from images
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Local feature saliency for texture representation
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
The extraction of image's salient points for image retrieval
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Comparing string representations and distances in a natural images classification task
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
Image retrieval based on salient points from DCT domain
MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence
A cascade of unsupervised and supervised neural networks for natural image classification
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Objectionable image detection by ASSOM competition
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
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This paper addresses the problem of detection and delineation of interest points in images as part of an automatic image and video indexing for search by content purposes project. We propose a novel key point detector based on multiresolution contrast information. We compare this detector to the Plessey feature point detector as well as the detector introduced in the SUSAN project. As we are interested in common database applications, we focus this comparison on robustness versus coding noise like Jpeg noise.