Removal of object's shadow algorithm

During bright day light or under strong lighting condition, shadows will appear and be part of an object in image. Objectpsila shadow in images may cause problem to several important algorithm in the fields of image processing such as object recognition, segmentation and object tracking. Removing th...

Full description

Saved in:
Bibliographic Details
Main Authors: Ibrahim, M.M., Al-Attas, S.A.R., Harun, N.Z.
Format: Conference Proceeding
Language:English
Subjects:
algorithm
Classification algorithms
Entropy
Feature extraction
Kernel
non-shadow region
object's shadow
Pixel
Support Vector Machine (SVM) shadow region
Support vector machines
Training
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:During bright day light or under strong lighting condition, shadows will appear and be part of an object in image. Objectpsila shadow in images may cause problem to several important algorithm in the fields of image processing such as object recognition, segmentation and object tracking. Removing the shadows can greatly improve the result of the image processing. To tackle this problem then, this algorithm is divided into three parts; eliminating the surrounding objects of object focused, detecting shadows region and removing the objectpsilas shadow. This algorithm used moving object images to distinguish between object focusing and objects will be eliminated in an image. Support vector machine (SVM) was used to detect the shadow region which classify the image into shadow and non-shadow region. Matlab and Image Processing Toolbox were utilized and OSU-SVM was used as interface SVM to the Matlab environment.
DOI:10.1109/APACE.2007.4603888