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Image Registration

Research on image registration addresses issues related to multiscale registration, integrating robust segmentation tools with the contour matching approach, and in developing novel image representation schemes for maintaining large databases of various image datasets.

Registration with Fit Assessment

Image registration is an important operation in remote sensing applications that basically involves the identification of many control points in the images. The increased volume of satellite images has reinforced the need for automatic image registration methods. This project introduces innovative techinque for satelite imagery and aerial photography. more...

» Seamless Mosaicking

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Mosaicking based framework for local image processing

Here we present a framework for various local image processing. Locality is achieved by using tiles and novelty is in the way the tiles are assembled back together to constitute an image. Our approach is robust to acquisition parameters and temporal changes. Since we blend the images using pixel data from the spatial domain (as opposed to fusing the information in a transform domain), the resulting images have fewer artifacts. The results presented for microscopy and hand held consumer cameras demonstrate good quality and computational efficiency. Different applications of our approach are presented in the following. more...

Corner Detection

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Curves

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Ransac

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Multiview Curve Database

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Multisensor Image Registration and Fusion

This research project include multiscale registration using robust image segmentation and matching algorithms with the aim of developing faster registration algorithms. In addition, efficient data representation schemes are being investigated by integrating segmentation, registration, fusion and data decorrelation in a single framework. more...