A similarity measure based on causal neighbours and mutual information
Design and application of hybrid intelligent systems
Retrieval of images of man-made structures based on projective invariance
Pattern Recognition
Mining user hidden semantics from image content for image retrieval
Journal of Visual Communication and Image Representation
A conditional random field approach to unsupervised texture image segmentation
EURASIP Journal on Advances in Signal Processing
Symmetric color ratio in spiral architecture
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
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We aim for content-based image retrieval of textured objects in natural scenes under varying illumination and viewing conditions. To achieve this, image retrieval is based on matching feature distributions derived from color invariant gradients. To cope with object cluttering, region-based texture segmentation is applied on the target images prior to the actual image retrieval process. The retrieval scheme is empirically verified on color images taken from textured objects under different lighting conditions.