DocumentCode :
571793
Title :
Localization of acne lesion through template matching
Author :
Humayun, Jawad ; Malik, Aamir Saed ; Belhaouari, Samir Brahim ; Kamel, Nidal ; Yap, Felix Boon Bin
Author_Institution :
Electr. & Electron. Eng. Dept., Univ. Technol. PETRONAS, Tronoh, Malaysia
Volume :
1
fYear :
2012
fDate :
12-14 June 2012
Firstpage :
91
Lastpage :
94
Abstract :
Counts of the lesion are typically required for the severity assessment of acne lesion. Localization of the lesions is first step for counting the lesions. Template matching approach has been widely used for locating the correlated object especially a face in an image. Here we have applied the same approach for localizing the acne lesion. It is a novel approach to count the lesions through by template matching; as no one has used it for localizing the acne. This approach proved to be affective for counting of lesions. Hypothetic ally, this approach can also be used for classification of the lesions.
Keywords :
diseases; face recognition; image classification; image matching; medical image processing; object detection; acne lesion localization; correlated object location; lesions classification; lesions counting; severity assessment; template matching; Artificial intelligence; Conferences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent and Advanced Systems (ICIAS), 2012 4th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-1968-4
Type :
conf
DOI :
10.1109/ICIAS.2012.6306166
Filename :
6306166
Link To Document :
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