An Improved Convexity Based Segmentation Algorithm for Heavily Camouflaged Images
Amarjot Singh,N. Sumanth Kumar +1 more
TL;DR: In this paper, an advanced convexity based segmentation algorithm for heavily camouflaged images is proposed, which is able to eliminate the sub-targets leaving behind only the target of interest in the input image.
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Abstract: The paper proposes an advanced convexity based segmentation algorithm for heavily camouflaged images. The convexity of the intensity function is used to detect camouflaged objects from complex environments. We take advantage of arg D operator for the detection of 3D concave or convex graylevels to exhibit the effectiveness of camouflage breaking based on convexity. The biological motivation behind arg D operator and its high robustness make it suitable for camouflage breaking. The traditional convexity based algorithm identifies the desired targets but in addition also identifies sub-targets due to their three dimensional behavior. The problem is overcome by combining the conventional algorithm with thresholding. The proposed method is able to eliminate the sub-targets leaving behind only the target of interest in the input image. The proposed method is compared with the conventional arg D operator. It is also compared with some conventional edge based operator for performance evaluation.
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Advanced Mobile Surveillance System for Multiple People Tracking
Sreedhar Bandaru,Amarjot Singh +1 more
TL;DR: This is the first paper to the best of the knowledge which makes use of this method to design mobile wireless robot for human surveillance applications and the superiority of the method used is demonstrated using different evaluation parameters like RMCD, variability and reliability.
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TL;DR: A computational system was developed to integrate both Fourier image processing techniques and biologically based imageprocessing techniques, allowing for a versatile and systematic approach to be taken toward the development of specialized patterning and visual textures.
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