Pattern Spectrum and Multiscale Shape Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
Morphological operators for image sequences
Computer Vision and Image Understanding
Attribute openings, thinnings, and granulometries
Computer Vision and Image Understanding
Wavelet-based image indexing techniques with partial sketch retrieval capability
IEEE ADL '97 Proceedings of the IEEE international forum on Research and technology advances in digital libraries
Complete ordering and multivariate mathematical morphology
ISMM '98 Proceedings of the fourth international symposium on Mathematical morphology and its applications to image and signal processing
Total ordering based on space filling curves for multivalued morphology
ISMM '98 Proceedings of the fourth international symposium on Mathematical morphology and its applications to image and signal processing
Fast Nearest Neighbor Search in Medical Image Databases
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
Morphological Algorithms for Color Images based on a Generic-Programming Approach
SIBGRAPHI '98 Proceedings of the International Symposium on Computer Graphics, Image Processing, and Vision
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The use of the image color information beyond color histograms has been limited for image retrieval. A reason is the lack of an accepted core basic color operation set on color images. With the grown interest in image retrieval applied to color images, new operators have been recently developed, having interesting properties. Opening distributions on images based on granulometries constitute an extremely useful tool in morphological tasks. Efficient techniques have been proposed for binary and grayscale images using linear openings. The present study extends the granulometry concept for color images. In addition, it addresses the development of a new morphological approach grounded on particle size distributions for color images and their use as an additional textural information to build queries over an image database.