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FeatureMatch: A General ANNF Estimation Technique and its Applications

Ramakanth, Avinash S and Babu, Venkatesha R (2014) FeatureMatch: A General ANNF Estimation Technique and its Applications. In: IEEE TRANSACTIONS ON IMAGE PROCESSING, 23 (5). pp. 2193-2205.

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Official URL: http://dx.doi.org/10.1109/TIP.2014.2309436

Abstract

In this paper, we propose FeatureMatch, a generalised approximate nearest-neighbour field (ANNF) computation framework, between a source and target image. The proposed algorithm can estimate ANNF maps between any image pairs, not necessarily related. This generalisation is achieved through appropriate spatial-range transforms. To compute ANNF maps, global colour adaptation is applied as a range transform on the source image. Image patches from the pair of images are approximated using low-dimensional features, which are used along with KD-tree to estimate the ANNF map. This ANNF map is further improved based on image coherency and spatial transforms. The proposed generalisation, enables us to handle a wider range of vision applications, which have not been tackled using the ANNF framework. We illustrate two such applications namely: 1) optic disk detection and 2) super resolution. The first application deals with medical imaging, where we locate optic disks in retinal images using a healthy optic disk image as common target image. The second application deals with super resolution of synthetic images using a common source image as dictionary. We make use of ANNF mappings in both these applications and show experimentally that our proposed approaches are faster and accurate, compared with the state-of-the-art techniques.

Item Type: Journal Article
Additional Information: copyright for this article belongs to IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Keywords: Approximate nearest neighbour field; patch-based image synthesis; PatchMatch; optic disk detection; super resolution
Department/Centre: Division of Interdisciplinary Research > Supercomputer Education & Research Centre
Depositing User: Id for Latest eprints
Date Deposited: 17 Jun 2014 11:02
Last Modified: 17 Jun 2014 11:02
URI: http://eprints.iisc.ac.in/id/eprint/49255

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