Image segmentation by background extraction refinementsAn image segmentation method refining background extraction in two phases is presented. In the first phase, the method detects homogeneous-background blocks and estimates the local background to be extracted throughout the image. A block is classified homogeneous if its left and right standard deviations are small. The second phase of the method refines background extraction in nonhomogeneous blocks by recomputing the shoulder thresholds. Rules that predict the final background extraction are derived by observing the behavior of successive background statistical measurements in the regions under the presence of dark and/or bright object pixels. Good results are shown for a number of outdoor scenes.
Document ID
19910034880
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Rodriguez, Arturo A. (IBM Thomas J. Watson Research Center Yorktown Heights, NY, United States)
Mitchell, O. Robert (Texas, University Arlington, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1990
Subject Category
Cybernetics
Meeting Information
Meeting: Intelligent Robots and Computer Vision VIII: Algorithms and Techniques