Object Retrieval Approach with Invariant Features Based on Corner Shapes

This paper presents a new technique for corner shape based object retrieval from a database. The proposed feature matrix consists of values obtained through a neighborhood operation of detected corners. This result in a significant small size feature matrix compared to the algorithms using color fea...

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Bibliographic Details
Main Authors: Ahmad, N., Jongan Park, Gwangwon Kang, Jiyoung Kang, Junguk Beak
Format: Conference Proceeding
Language:English
Subjects:
Content based image retrieval
Content based retrieval
Feedback
Image content retrieval
Image databases
Image indexing
Image retrieval
Indexing
Information retrieval
Multimedia databases
multimedia search
Multimedia/Image databases
Shape
Signal processing algorithms
Spatial databases
Online Access:Request full text
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Description
Summary:This paper presents a new technique for corner shape based object retrieval from a database. The proposed feature matrix consists of values obtained through a neighborhood operation of detected corners. This result in a significant small size feature matrix compared to the algorithms using color features and thus is computationally very efficient. The corners have been extracted by finding the intersections of the detected lines found using Hough transform. As the affine transformations preserve the co-linearity of points on a line and their intersection properties, the resulting corner features for image retrieval are robust to affine transformations. Furthermore, the corner features are invariant to noise. It is considered that the proposed algorithm will produce good results in combination with other algorithms in a way of incremental verification for similarity.
ISSN:2162-7843
DOI:10.1109/ISSPIT.2007.4458071