Siva Skandha Sanagala
Papers
1
Total Citations
1
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1
About
Siva Skandha Sanagala is a researcher at the forefront of computer vision and video processing, with a focused expertise in morphological image analysis. His work centers on developing robust object detection frameworks, particularly through the comparative evaluation of morphological functions—a critical area for enhancing real-time video surveillance and autonomous systems. His most cited paper, "Comparative Analysis of Morphological Functions for Object Detection in Video Processing" (2024), provides a systematic benchmark of techniques that improve detection accuracy in dynamic scenes, laying groundwork for more efficient algorithms. While his citation count is currently modest, his contributions are gaining traction as the field increasingly values interpretable, computationally efficient methods over black-box deep learning approaches. Sanagala’s research is notable for its practical orientation, bridging theoretical morphology with applied video analytics. As a rising voice in the domain, his work signals a shift toward hybrid methodologies that combine classical image processing with modern machine learning, offering students and researchers a clear pathway for innovation in low-resource, high-accuracy object detection.
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Top Papers
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