An edge detector based integrated database framework for security applications

Sampathkumar Veeraraghavan; Karen Panetta; Sos Agaian

doi:10.1117/12.850201

28 April 2010 An edge detector based integrated database framework for security applications

Sampathkumar Veeraraghavan, Karen Panetta, Sos Agaian

Proceedings Volume 7708, Mobile Multimedia/Image Processing, Security, and Applications 2010; 77080X (2010) https://doi.org/10.1117/12.850201
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

In this paper, an integrated framework comprising of computer vision algorithms, Database system and Batch processing techniques has been developed to facilitate effective automatic threat recognition and detection for security applications. The proposed approach is used for automatic threat detection. The novel features of this structure include utilizing the Human Visual System model for segmentation, and a new ratio based edge detection algorithm that includes a new adaptive hysteresis thresholding method. The feature vectors of the baseline images are generated and stored in a relational database system using a batch window. The batch window is a special process where image processing tasks with similar needs are grouped together and effectively processed to save computing and memory requirements. The feature vectors of the segmented objects are generated using the CED method and are classified using a support vector machine (SVM) based classifier to identify threat objects. The experimental results demonstrate the presented framework efficiency in reducing the classification time and provide accurate detection.

Citation Download Citation

Sampathkumar Veeraraghavan, Karen Panetta, and Sos Agaian "An edge detector based integrated database framework for security applications", Proc. SPIE 7708, Mobile Multimedia/Image Processing, Security, and Applications 2010, 77080X (28 April 2010); https://doi.org/10.1117/12.850201

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KEYWORDS

Image segmentation

Databases

Image processing

Edge detection

Detection and tracking algorithms

Image processing algorithms and systems

Computed tomography

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