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[PDF][PDF] Research review for digital image segmentation techniques
Evaluating the previous work is an important part of develo** segmentation methods for
the image analysis techniques. The aim of this paper is to give a review of digital image …
the image analysis techniques. The aim of this paper is to give a review of digital image …
Static and moving object detection using flux tensor with split Gaussian models
In this paper, we present a moving object detection system named Flux Tensor with Split
Gaussian models (FTSG) that exploits the benefits of fusing a motion computation method …
Gaussian models (FTSG) that exploits the benefits of fusing a motion computation method …
Multi-object tracking cascade with multi-step data association and occlusion handling
Multi-object tracking is a fundamental computer vision task with a wide variety of real-life
applications ranging from surveillance and monitoring to biomedical video analysis. Multi …
applications ranging from surveillance and monitoring to biomedical video analysis. Multi …
Efficient globally optimal segmentation of cells in fluorescence microscopy images using level sets and convex energy functionals
In high-throughput applications, accurate and efficient segmentation of cells in fluorescence
microscopy images is of central importance for the quantification of protein expression and …
microscopy images is of central importance for the quantification of protein expression and …
Segmentation of cell nuclei in fluorescence microscopy images: An integrated framework using level set segmentation and touching-cell splitting
Accurate segmentation of cells in fluorescence microscopy images plays a key role in high-
throughput applications such as quantification of protein expression and the study of cell …
throughput applications such as quantification of protein expression and the study of cell …
Wide-area persistent airborne video: Architecture and challenges
The need for persistent video covering large geospatial areas using embedded camera
networks and stand-off sensors has increased over the past decade. The availability of …
networks and stand-off sensors has increased over the past decade. The availability of …
Cell segmentation using Hessian-based detection and contour evolution with directional derivatives
The large amount of data produced by biological live cell imaging studies of cell behavior
requires accurate automated cell segmentation algorithms for rapid, unbiased and …
requires accurate automated cell segmentation algorithms for rapid, unbiased and …
Multi-cue vehicle detection for semantic video compression in georegistered aerial videos
Detection of moving objects especially vehicles in videos acquired from an airborne camera
is very useful for video analytics applications including traffic flow, urban planning …
is very useful for video analytics applications including traffic flow, urban planning …
On the usefulness of object tracking techniques in performance analysis
Understanding the behavior of a parallel application is crucial if we are to tune it to achieve
its maximum performance. Yet the behavior the application exhibits may change over time …
its maximum performance. Yet the behavior the application exhibits may change over time …
Structure tensor based analysis of cells and nuclei organization in tissues
Extracting geometrical information from large 2D or 3D biomedical images is important to
better understand fundamental phenomena such as morphogenesis. We address the …
better understand fundamental phenomena such as morphogenesis. We address the …