Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Object recognition using wavelets, L-G graphs and synthesis of regions
Pattern Recognition
Comparing image objects using tree-based approach
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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Describes an efficient and effective image similarity calculation method for object-based image comparison at the level of object classes. It uses probabilistic-prediction voting based on the predicted class distribution of each segment of the contour of an object in an image to determine the class of the object. The C4.5 inductive learning algorithm is used to predict the class distribution of object-contour segments. This method is invariant to rotation, scaling and translation of objects. Experimental results show that the method is effective and efficient. It can be used for object-based image retrieval