Computers are beginning to replace photographic archives as the preferred form of repository. Computer based images repositories provides a flexible that cannot be attained with collection of printed images. Recently there has been as explosion in the number of images available to computer users. As this number increases, users require more sophisticated methods of retrieval. The area of content-based image retrieval is a hybrid research area that requires knowledge of both computer vision and of database systems. Large image databases are bein ....etc

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In this paper, we aim to present a general introduction to steganography or data-hiding as it is sometimes just known. We then turn to data-hiding in images. When examining these data-hiding techniques, we bear in mind Benderâ„¢s specifications, such as degradation of the cover data must be kept to a minimum, and the hidden data must be made as immune as possible to possible attack from manipulation of the cover data.

Steganography in images has truly come of age with the invention of fast, powerful computers. Software is readily availab ....etc

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Can you please provide fully executable matlab cade for Dewarping or Deskewing text lines of document images?

Regards,
Nabanita ....etc

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ABSTRACT: The normal direction of the bone contour in computed tomography (CT) images provides important anatomical information and can guide segmentation algorithms. Since various bones in CT images have different sizes, and the intensity values of bone pixels are generally nonuniform and noisy, estimation of the normal direction using a single scale is not reliable. We propose a multiscale approach to estimate the normal direction of bone edges. The reliability of the estimation is calculated from the estimated results and, after re-scaling, ....etc

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Cancer of the Mouth and Throat

Overview

The oral cavity (mouth) and the upper part of the throat (pharynx) have roles in many important functions, including breathing, talking, chewing, and swallowing. The mouth and upper throat are sometimes referred to as the oropharynx. The important structures of the mouth and upper throat include the following:
*) Lips
*) Inside lining of the cheeks (buccal mucosa)
*) Teeth
*) Gums
*) Tongue
*) Floor of the mouth
*) Back of the throat, including the ....etc

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Overview

The oral cavity (mouth) and the upper part of the throat (pharynx) have roles in many important functions, including breathing, talking, chewing, and swallowing. The mouth and upper throat are sometimes referred to as the oropharynx. The important structures of the mouth and upper throat include the following:
*) Lips
*) Inside lining of the cheeks (buccal mucosa)
*) Teeth
*) Gums
*) Tongue
*) Floor of the mouth
*) Back of the throat, including the tonsils (oropharynx)
*) Roof of the mouth (the bony front part ....etc

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The word Steganography literally means ?covered writing? as derived from Greek. It encompasses all methods of secret communication that conceal the very existence of the message.

Digital technology gives us new ways to apply Steganographic techniques including one of the most intriguing that of hiding information in the digital images. A popular method is the LSB encoding, so encoding and detection of LSB Steganography is discussed in detail. Steganography goes well beyond simply embedding text in an image.

It also pertains to other media ....etc

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Automatic Segmentation of Digital Images Applied In Cardiac Medical Images
Abstract:
In this project, at the initial stage, the the segmentation is used to separate the image in parts that represents an interest object, that may be used in a specific study. There are several methods that intend to perform such task, but are difficult to find a method that can easily adapt to different type of images, that often are very complex or specific. To resolve this problem, this project aims to presents an adaptable segmentation method that ca ....etc

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automatic segmentation of digital images applied in cardiac medical images powerpoint ....etc

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ABSTRACT: The normal direction of the bone contour in computed tomography (CT) images provides important anatomical information and can guide segmentation algorithms. Since various bones in CT images have different sizes, and the intensity values of bone pixels are generally nonuniform and noisy, estimation of the normal direction using a single scale is not reliable. We propose a multiscale approach to estimate the normal direction of bone edges. The reliability of the estimation is calculated from the estimated results and, after re-scaling, ....etc

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