Illumination Invariant Motion Segmen- Tation of Simply Connected Objects
نویسنده
چکیده
A new segmentation algorithm exploits local image quantities which are invariant to changing illumination. Local object-background probability estimates are obtained by comparing illumination invariant quantities in an actual image with the corresponding quantities in a reference image. The objects' simply connectedness is included directly into the probability estimates and leads to an iterative optimization procedure that is implemented eeciently. This new approach avoids early thresh-olding, explicit edge detection, motion analysis, and grouping.
منابع مشابه
Illumination Invariant Motion Segmentation of Simple Connected Objects
A new segmentation algorithm exploits local image quantities which are invariant to changing illumination. Local object-background probability estimates are obtained by comparing illumination invariant quantities in an actual image with the corresponding quantities in a reference image. The objects' simply connectedness is included directly into the probability estimates and leads to an iterati...
متن کاملAn Iterative Motion Estimation-Segmentation Method using Watershed Segments
This paper addresses the problem of segmentation of image sequences into moving objects. The segmen-tation (label) eld is modeled by applying a Markov Random Field on regions provided by a watershed algorithm. The algorithm iterates between a motion estimation and a segmentation step. Temporal consistency is introduced by tracking the segmentation in time.
متن کاملIsolating Multiple Image Motions for Enhancement and 3D Analysis
Motion computation in scenes having multiple moving objects is performed together with object segmen-tation by using a temporal integration approach. Using an accurate 2D motion estimate for image regions, they can be enhanced by fusing all successive frames covering the same region. Enhancement includes improvement of image resolution and lling-in occluded regions. It is also shown how an accu...
متن کاملMeasuring Shape and Motion of White Blood Cells from Sequences of Fluorescence Microscopy Images
We describe an image analysis system developed to measure the motion of white blood cells from a temporal sequence of uorescence microscopy images. A two-pass spatio-temporal segmentation system is proposed. Pixels are classied as cell and background pixels by an initial segmen-tation in the rst pass. Region labeling, correction and cell tracking are done in the second pass. After segmentation,...
متن کاملMorphological operators for very low bit rate video coding
This paper deals with the use of some morphological tools for video coding at very low bit rates Rather than describing a complete coding algorithm the purpose of this paper is to focus on morphological connected operators and segmen tation tools that have recently proved to be attractive for compression
متن کامل