Journal Article10.1134/S0361768809030049
Content-based image retrieval methods
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TL;DR: A survey of common feature extraction and representation techniques and metrics of the corresponding feature spaces is presented and a detailed classification of the currently known features’ representations is given.
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Abstract: Creation of a content-based image retrieval system implies solving a number of difficult problems, including analysis of low-level image features and construction of feature vectors, multidimensional indexing, design of user interface, and data visualization Quality of a retrieval system depends, first of all, on the feature vectors used, which describe image content The paper presents a survey of common feature extraction and representation techniques and metrics of the corresponding feature spaces Color, texture, and shape features are considered A detailed classification of the currently known features' representations is given Experimental results on efficiency comparison of various methods for representing and comparing image content as applied to the retrieval and classification tasks are presented
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A Survey on Recent Image Indexing and Retrieval Techniques for Low-Level Feature Extraction in CBIR Systems
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A grid-based shape indexing and retrieval method
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TL;DR: In this article, a grid-based shape representation and similarity measure is proposed for content-based image retrieval, which allows users to ask for objects similar in shape to a query object.
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An Effective Content-Based Image Retrieval Using Color, Texture and Shape Feature
Milind Vijayrao Lande,Praveen Bhanodiya,Pritesh Jain +2 more
- 01 Jan 2014
TL;DR: An effective way of extracting color, texture, and shape features from image and combine them in a way that ensures higher retrieval efficiency is proposed.
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Image understanding using decision tree based machine learning
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Visual pattern recognition by moment invariants
TL;DR: It is shown that recognition of geometrical patterns and alphabetical characters independently of position, size and orientation can be accomplished and it is indicated that generalization is possible to include invariance with parallel projection.
The Laplacian Pyramid as a Compact Image Code
Peter J. Burt,Edward H. Adelson +1 more
TL;DR: A technique for image encoding in which local operators of many scales but identical shape serve as the basis functions, which tends to enhance salient image features and is well suited for many image analysis tasks as well as for image compression.
Color indexing
Michael J. Swain,Dana H. Ballard +1 more
TL;DR: In this paper, color histograms of multicolored objects provide a robust, efficient cue for indexing into a large database of models, and they can differentiate among a large number of objects.
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