Abstract
This paper focus on Image retrieval using Sketch based image retrieval system. The low complexity model for image representation has given the sketch based image retrieval (SBIR) a optimal selection for next generation application in low resource environment. The SBIR approach uses the geometrical region representation to describe the feature and utilize for recognition. In the SBIR model, the features represented define the image. Towards the improvement of SBIR recognition performance, in this paper a new invariant modeling using “orientation feature transformed modeling” is proposed. The approach gives the enhancement of invariant property and retrieval performance improvement in transformed domain. The experimental results illustrate the significance of invariant orientation feature representation in SBIR over the conventional models.
Highlights
Images are used as a source of information representation in current technology
When applied with orientation it is observed that the features are extracted from the orientation feature transformed (OFT) coefficients the feature variation due to spectral orientation is not effective, as these coefficients are scaled to a uniform scale
For the evaluation of the proposed approach a image retrieval performance defined by the true positive (TP), true negative (TN), false positive (FP), and false negative (FN) defining accuracy, sensitivity, precision etc., were used
Summary
Images are used as a source of information representation in current technology. With evolution of new technologies, images has become a source of data exchange where, the image data are used as a authentication means, critical data exchange, information exchange, photography etc. In the development of sketch based information retrieval (SBIR), different approaches were proposed in past. In [8] a fine grain sketch based information retrieval is defined. The shape retrieval features are defined based on the edge parameter, where a hand drawn sketch is passed to an edge descriptor and the edge regions are used as a feature descriptor in information retrieval. The approach defines a web browser based retrieval approach where the image is passed as an interface of hand drawn sketch for manga image titles. The FGSBIR is a new approach for SBIR application, where the sketch image are processed in finer scale level to extract finer details of the curvature contours presented in the sketch regions.
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