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Shadow Detection and Removal Techniques: A Perspective View

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Shadow Detection and Removal Techniques: A Perspective View

Avinash Kumar Singh | Ankit Pandit

Avinash Kumar Singh | Ankit Pandit "Shadow Detection and Removal Techniques: A Perspective View" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4, June 2019, pp.1596-1599, URL: https://www.ijtsrd.com/papers/ijtsrd25201.pdf

Shadow detection and removal from single images of natural scenes is the main problem. Hence, Shadow detection and removal remained a challenging task. Significant research carried out on different shadow detection techniques. Over the last decades several approaches were introduced to deal with shadow detection and removal. Shadows are visual phenomena which happen when an area in the scene is occluded from the primary light source (e.g. sun). Shadows are everywhere around us and we are rarely Confused by their presence. This article provides an overview of various methods used for shadow detection and removal using some main components like texture analysis, color information, Gaussian mixture model (GMM) and deterministic non model based approach. Texture; Color; This paper is aimed to provide a survey on various algorithms and methods of shadow detection and removal with their comparative study.

Shadow, Shadow Detection, Shadow Removal, Enhancement

Volume-3 | Issue-4, June 2019
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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