alexa Abstract | Simple mathematical operations based classification of the light color values of the images for skin cell detection

Biomedical Research
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


Skin disorders are identified visually by expert medical doctors before the detailed examination stage. In addition, some automatic computer-aided diagnostic methods have been developed to help the doctor at the visual examination stage. These methods are mostly based on skin color classification because the color change in skin is important for medical doctors. However, proposed classification methods are based on complex mathematical equations. Therefore, methods proposed in the literature are difficult to understand by medical doctors and these methods cannot be used without a computer. In this study, a new classification method that based on simple mathematical operations and can be used without a computer is proposed. In the first stage of the study, relation between the primary light color values of the images was inspected visually and visibly obvious differences were determined to create new attributes. Then the classification was made in the following way If primary light color order is R>G>B and then the R/G ratio is between the determined range, the image sample was classified as skin image. Determined ratio (R/G ratio range of skin samples) was determined by the method of decision trees. Finally, the obtained new attributes were classified by using well-known classifiers again and the classification accuracy (99.2%) of the proposed method was approved.

To read the full article Peer-reviewed Article PDF image

Author(s): Selahaddin Batuhan Akben


Skin segmentation, Image color classification, Skin color classification, Skin disorders, Automatic detection of skin, #

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

1-702-714-7001Extn: 9037

Business & Management Journals


1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

1-702-714-7001 Extn: 9042

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version