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This paper examines the Kernel Principal Component Analysis (KPCA) feature detection and classification for underwater images. In Underwater images the numbers of distortion occurred are blurring of image, illumination of light and rotation of angle, noise etc. Features are normally extracted by the method called SIFT (Scale Invariant Feature Transform for underwater images). It is used for extracting...
Character recognition has been in importance for several decades. Lot of research interest are now focused on applying pattern recognition and computer vision algorithms on camera captured documents to retrieve information from the documents. This paper presents a novel approach for extracting text in camera captured images using edge based algorithm. Extensive experiments have been carried out on...
This paper presents a new shape descriptor based on structural curvature histogram (SCHD) for gray image retrieval. With this method, the image contour curvature vector containing spatial structural information is firstly extracted, and then the shape descriptor based on the equalized structural curvature histogram is obtained for image retrieval application. Experimental results show that the presented...
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