JOURNAL ARTICLE

Shadow Detection Of Aerial Images Using Successive Thresholding And Removal By Adaptive Histogram Equalization

Trupti Rajendra GhewariS. R. Khot

Year: 2017 Journal:   Zenodo (CERN European Organization for Nuclear Research) Vol: 3 (01)Pages: 30-33   Publisher: European Organization for Nuclear Research

Abstract

In this paper, the successive thresholding scheme is focus of discussion. In this scheme the modified ratio map obtained by applying the exponential function to the ratio map, is presented to stretch the distance between the ratio values of shadow and non shadow pixels. In order to stumble on the real shadow pixels from the candidate shadow pixels, the connected element system is first implemented to the candidate shadow pixels for grouping the candidate shadow regions. For every candidate shadow area, the local thresholding technique is carried out iteratively to extract the real shadow pixels from the candidate shadow area. Finally, for the remaining candidate shadow regions, a fine-shadow determination process is applied to identify whether each remaining candidate shadow pixel is the true shadow pixel or not. https://journalnx.com/journal-article/20150166

Keywords:
Thresholding Pixel Shadow (psychology) Artificial intelligence Computer vision Histogram Computer science Image (mathematics) Mathematics

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Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Infrared Target Detection Methodologies
Physical Sciences →  Engineering →  Aerospace Engineering

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