Title :
Removal of object’s shadow algorithm
Author :
Ibrahim, Masrullizam Mat ; Rahman, S.A.-A.A. ; Harun, Nor Zaidi
Author_Institution :
Univ. Teknikal Malaysia Melaka, Ayer Keroh
Abstract :
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.
Keywords :
image segmentation; object recognition; support vector machines; Matlab environment; image processing; object recognition; object segmentation; object tracking; objects shadow removal algorithm; support vector machine; Blood vessels; Focusing; Image processing; Layout; Lighting; Object recognition; Pixel; Support vector machine classification; Support vector machines; Testing; Support Vector Machine (SVM) shadow region; algorithm; non-shadow region; object’s shadow;
Conference_Titel :
Applied Electromagnetics, 2007. APACE 2007. Asia-Pacific Conference on
Conference_Location :
Melaka
Print_ISBN :
978-1-4244-1434-5
Electronic_ISBN :
978-1-4244-1435-2
DOI :
10.1109/APACE.2007.4603888