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10 articles for “shadow detection”
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A Review on Various Shadow Detection and Removal Techniques for Image Enhancement
Abstract: AbstractShadow is a dark area created when light from a light source is blocked by an opaque object. The presence of shadow has been responsible for reducing the reliability of many computer vision applications including segmentation, object detection, scene analysis etc. Shadows degrade the quality of image and it may affect information provided by the image. Therefore, shadow detection and removal is an important pre-processing to restore the information of …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 14–19 Read article
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Proposed Algorithm for Shadow Identification and Classification in VHR Satellite Imagery
Abstract: The Very High Resolution (VHR) satellite imagery offers great possibilities for urban environments. Unfortunately, shadows cast by buildings in high-density urban environments obscure much of the information in the image, leading to potentially corrupted classification results or blunders in interpretation. The objective of this paper is to propose an algorithm for better identification and classification of shadows in VHR images. Two prime stages were carried out i.e. shadow identification and …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 3, 2015 · pp. 33–44 Read article
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An approach to detect and remove shadows from images
Abstract: The shadows are caused as a result of the robust illumination variation in a picture are determined because it causes numerous issues in computer vision algorithms. Tracking, Scene analysis and visual perception are all samples of the issues thus for this purpose there's a requirement for shadow detection and removal from pictures. The detection of shadows is completed using the lab color space. Shadow region is detected by computing the …
Published in Journal of Open Source Developments · Vol. 5, Issue 1, 2018 · pp. 7–11 Read article
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Background Suppression for Visual Surveillance Using SOM
Abstract: AbstractBackground suppression is widely used approach for detection of moving objects in video streams which is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting moving objects provides a focus of attention for recognition, classification, and activity analysis, making these later steps more efficient. An approach based on self-organization …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 1, 2015 · pp. 15–20 Read article
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Diagnostic Algorithm of Multidetector Computed Tomography (MDCT) for Healthy Lungs to Detect Variations of Morphologic Index
Abstract: Introduction: Diagnostic algorithm of Multidetector Computed Tomography (MDCT) was established to make qualitative diagnosis with four types of shadows-increased Lung Attenuation, Decreased Lung Attenuation, Linear Pattern, Nodular Pattern and the nodular pattern is also used for qualitative assessment by being further classified as round, lobulated, polygonal, tentacular, spiculated, ragged and irregular pattern. Method: To establish the new diagnostic algorithm using MDCT result indicators, we selected morphologic indices to used CAD …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 1, 2022 · pp. 30–33 Read article
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Wireless Intelligent Accurate Bridge Deck Crack Inspection and Mapping
Abstract: One of the important tasks for building maintenance is building deck crack inspection. However, the inspection result in human analysis is less accurate in nature. So, a crack inspection system that uses a camera-equipped mobile robot to collect images on the building deck has been proposed. In this method, the Laplacian of Gaussian (LoG) algorithm is used to detect cracks and a global crack map is obtained through camera calibration …
Published in Journal of Advancements in Robotics · Vol. 3, Issue 2, 2016 · pp. 24–29 Read article
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Advances in Smart Cradle Design: Automation and Monitoring Systems for Infant Care
Abstract: With the hectic schedules of working parents currently, raising a baby has become difficult. The arduous juggling between career obligations and childcare responsibilities can strain the very limits of human capacity. The choices have historically been to entrust the child's care to either senior family members or hiring a dedicated infant carer in situations like these, where time's unrelenting passage leaves little time for a full 24-hour commitment to the …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 34–43 Read article
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Black Hole and Accretion Disks:Observational Discoveries and Theoretical Frameworks
Abstract: This review covers the essential elements of black hole accretion disk theory, beginning with the primary objective of understanding the complex nature of black holes. We delve into how key features of strong gravity, such as the event horizon, innermost stable circular orbit, and ergosphere, manifest in accretion disks. This review revisits the physical mechanisms driving accretion disks and presents four main models: thin disks, Shakura-Sunyaev disks, advection-dominated accretion flows …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 Read article
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Hybrid Intelligence in Cyber Security: A Study
Abstract: The digital landscape is a battlefield of escalating complexity, where the volume, velocity, and sophistication of cyber threats have exponentially outpaced human-centric defense models. Traditional rule-based security systems and siloed artificial intelligence (AI) solutions, while valuable, are increasingly brittle, overwhelmed by zero-day exploits, polymorphic malware, and coordinated, state-sponsored campaigns that operate in the shadows of big data. This paper posits that the paradigm of cybersecurity must fundamentally shift from one …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article
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Title-: Hello! Are we alone? If you're like me, you may want to know me
Abstract: A thin layer near the surface of Earth is teeming with life of huge diversity: from micro-organisms to plants, animals, and possibly even more intelligent species humans !. Up till now, human forms the only known samples of intelligent civilized life in the Universe? We humans accepted that the laws and concepts of physics and chemistry can be applied throughout entire cosmos. Is there then a general biology as well …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 3, 2019 · pp. 1–22 Read article