Improved image segmentation techniques for hybrid waveform/object-oriented coding

Peter P. Kauff; U. Goelz; Silko Kruse; S. Rauthenberg

doi:10.1117/12.185952

16 September 1994 Improved image segmentation techniques for hybrid waveform/object-oriented coding

Peter P. Kauff, U. Goelz, Silko Kruse, S. Rauthenberg

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185952
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

A current topic in image coding is to investigate how the efficiency of conventional waveform coding can be improved by utilizing methods from image analysis, image segmentation, image understanding and computer vision. A very promising approach to this problem is object- oriented analysis-synthesis coding and its combination with conventional waveform codecs (hybrid waveform/object-oriented coding). One of the most important key components needed for such a hybrid system is a reliable and generic image segmentation. In this context the underlying contribution presents an algorithm for segmenting objects in front of moving backgrounds. This algorithm is based on four subsequent processing steps which are explained in detail: pre-segmentation by using a Hough transform of conventionally estimated vector fields, global parameter mapping within the pre-segmented background area, compensation of the global background motion, thresholding and post-processing of the remaining DFD signal.

Citation Download Citation

Peter P. Kauff, U. Goelz, Silko Kruse, and S. Rauthenberg "Improved image segmentation techniques for hybrid waveform/object-oriented coding", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185952

ACCESS THE FULL ARTICLE

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