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LINEAR AND NON-LINEAR FEATURE EXTRACTION ALGORITHMS FOR LUNAR IMAGES

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Author(s): Tamililakkiya.V | Vani K | Lavanya A | Anto Micheal

Journal: Signal & Image Processing
ISSN 2229-3922

Volume: 2;
Issue: 4;
Start page: 161;
Date: 2012;
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Keywords: Feature extraction | Shadow removal | linear feature | non linear feature | Ridges | Circular hough transform.

ABSTRACT
Craters, ridges and rocks are the features to be extracted in the lunar images. Proposed methodology dealswith detection of linear feature such as (i) ridges, (ii) lineaments and (iii) nonlinear features like craters.All edges are identified as either crater or lineament. Therefore, all circular edges are recognized ascraters edges, and those remained edges, which are not crater edges and low possibility of the noise, arerecognized as lineaments in the remained edges. The Steps for lineament recognition includes the stepssuch as Crater Rim Elimination, Small Area Elimination and Lineament Classification. Ridges detectionincludes edge extraction using haar wavelet transform followed by morphological operations such asdilation and erosion.For detection of non linear features such as craters, the most predominant feature on the lunar terrain,circular hough transform is used. But it fails to detect craters without proper connected edges because ofpresence of shadows in an image. This paper includes algorithms for shadow removal in the images whichaccounts for changes in illumination, visual appearance, and size. Results indicate that the detection rateis improved with shadow removal techniques.
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