Open AccessStatistical Techniques Applied to the Automatic Diagnosis of Dermoscopic Images
Author(s) -
Valerio De Vita,
Giuseppe Di Leo,
Gabriella Fabbrocini,
Consolatina Liguori,
Alfredo Paolillo,
Paolo Sommella
Publication year - 2012
Publication title -
acta imeko
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.178
H-Index - 12
eISSN - 2221-870X
pISSN - 0237-028X
DOI - 10.21014/acta_imeko.v1i1.7
Subject(s) - artificial intelligence , computer science , pattern recognition (psychology) , feature (linguistics) , computer vision , feature extraction , chromatic scale , software , set (abstract data type) , image (mathematics) , digital image , image processing , mathematics , philosophy , linguistics , combinatorics , programming language
An image based system implementing a well-known diagnostic method is disclosed for the automatic detection of melanomas as support to clinicians. The software procedure is able to recognize automatically the skin lesion within the digital image, measure morphological and chromatic feature, carry out a suitable classification for the detection of structural dermoscopic criteria provided by the 7-Point Check. Statistical techniques are introduced and adopted for border detection, feature extraction and classification as well as the resulting diagnostic score are described with reference to a large image set of pigmented lesions.