A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
IEEE Transactions on Multimedia
Pattern tracking and 3-D motion reconstruction of a rigid body from a 2-D image sequence
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An efficient region of interest acquisition method for dynamic magnetic resonance imaging
IEEE Transactions on Image Processing
Video segmentation for content-based coding
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Fast and automatic video object segmentation and tracking for content-based applications
IEEE Transactions on Circuits and Systems for Video Technology
Automatic segmentation of moving objects in video sequences: a region labeling approach
IEEE Transactions on Circuits and Systems for Video Technology
Video object segmentation using Bayes-based temporal tracking and trajectory-based region merging
IEEE Transactions on Circuits and Systems for Video Technology
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Region-of-interested (ROI) segmentation is one of the important applications in content-based processing. Although much work has been done in this area, relatively little work has been reported to the ROI segmentation with an implementation consideration. This paper presents a system level design with edge-based ROI segmentation. In order to improve the overall system performance, we propose a computationally efficient algorithm to reduce the complexity in segmentation. Based on the algorithm level development, we put more efforts on the realization with a single board platform system. The system is based on the hybrid architecture, including the associating synchronous modules and asynchronous modules. Detailed task partitions are well scheduled. The system integrates the acquisition and visualization modules for video stream input and output, the transition module for video format transformation, and the DSP processing module for ROI segmentation. We also present a number of optimization techniques in fixed-point arithmetic, memory usage, data transfer and parallel processing. Experiments are performed in the dynamic natural environment. The proposed system can segment ROI well. The run-time results achieve 66 images per second on QCIF format and validate the perspective of using ROI segmentation in content-based applications.