Mr. Thomas Vogel Profile

Thomas Vogel

at Otto-von-Guericke-Univ Magdeburg

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 17 January 2006 Paper

BlobContours: adapting Blobworld for supervised color- and texture-based image segmentation

Thomas Vogel, Dinh Quyen Nguyen, Jana Dittmann

Proceedings Volume 6073, 60730I (2006) https://doi.org/10.1117/12.650742

KEYWORDS: Image segmentation, Image processing algorithms and systems, Image processing, Image quality, Image retrieval, MATLAB, Visualization, C++, Expectation maximization algorithms, Feature extraction

Read Abstract +

Extracting features is the first and one of the most crucial steps in recent image retrieval process. While the color features and the texture features of digital images can be extracted rather easily, the shape features and the layout features depend on reliable image segmentation. Unsupervised image segmentation, often used in image analysis, works on merely syntactical basis. That is, what an unsupervised segmentation algorithm can segment is only regions, but not objects. To obtain high-level objects, which is desirable in image retrieval, human assistance is needed. Supervised image segmentations schemes can improve the reliability of segmentation and segmentation refinement. In this paper we propose a novel interactive image segmentation technique that combines the reliability of a human expert with the precision of automated image segmentation. The iterative procedure can be considered a variation on the Blobworld algorithm introduced by Carson et al. from EECS Department, University of California, Berkeley. Starting with an initial segmentation as provided by the Blobworld framework, our algorithm, namely BlobContours, gradually updates it by recalculating every blob, based on the original features and the updated number of Gaussians. Since the original algorithm has hardly been designed for interactive processing we had to consider additional requirements for realizing a supervised segmentation scheme on the basis of Blobworld. Increasing transparency of the algorithm by applying usercontrolled iterative segmentation, providing different types of visualization for displaying the segmented image and decreasing computational time of segmentation are three major requirements which are discussed in detail.

Proceedings Article | 21 March 2005 Paper

Illustration watermarking: an object-based approach for digital images

Thomas Vogel, Jana Dittmann

Proceedings Volume 5681, (2005) https://doi.org/10.1117/12.586977

KEYWORDS: Digital watermarking, Image segmentation, Image processing, Visualization, Visual process modeling, Databases, Image quality, Computer security, Computer programming, Expectation maximization algorithms

Read Abstract +

Digital watermarking techniques are used for a variety of applications, e.g. to protect copyrights of users, to guarantee the integrity of content or to provide additional information embedded in the media. Irrespective of the application, in common watermarking algorithms embedded information is either spread over the entire medium or concentrated at dedicated positions given by a visual or psychoacoustical model. In most cases syntactical and not semantical aspects determine embedding. In our paper we introduce an object-based DWT annotation watermarking scheme respecting the semantical characteristics of digital images for a so-called illustration watermarking. Here the goal is to embed annotation directly into the image objects by illustrating them with further information. Beside the semantic analysis for the illustrations we evaluate the competing properties capacity, non-perceptibility and robustness. Security issues are less important, since an annotation watermark does generally not need to be difficult to remove. If an attacker wants to destroy the embedded information there is often no need to keep him from that. Annotated data would lose value and therefore there is in most cases no attack motivation. After discussing the requirements for object-based watermarking we introduce the model of watermarking of data for illustrating the content and describe generic watermark embedding and extraction, as well as all necessary preprocessing like segmentation, feature extraction and the visual model.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years