Analysis of skin moles from optical spectropolarimetric images

Yitzhak Yitzhaky; Lior Graham; Ibrahim Abdulhalim

doi:10.1117/12.2024854

26 September 2013 Analysis of skin moles from optical spectropolarimetric images

Yitzhak Yitzhaky, Lior Graham, Ibrahim Abdulhalim

Proceedings Volume 8856, Applications of Digital Image Processing XXXVI; 88562J (2013) https://doi.org/10.1117/12.2024854
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

Abstract

Imaging of the skin to detect the signs of cancer becomes very common these days. A new noninvasive skin imaging method developed recently gives an informative image data about the skin tissue by collecting scattered polarized light reflected from a mole area. This method scans the polarization states by continuously rotating a linearly polarized light incident on the lesion and collecting the reflected sequence of images with a CCD camera. The two main wavelengths that were used in the study were 520nm (penetration is about 100μm) and 700nm (penetration is about 200μm). Methods developed in the past to diagnose suspicious moles were implemented to visual images. However, such methods cannot be employed directly to our images because of their different properties. In this paper, we analyze skin moles obtained from this system for the purpose of distinguishing cancerous from benign moles. First, we pre-process the mole image by de-noising, contrast enhancement and intensity-based segmentation of the mole region. Then, an automatic examination of the polarized images is carried out according to characteristics such as their symmetry, cross-image local contrasts and large-scale homogeneity.

Citation Download Citation

Yitzhak Yitzhaky, Lior Graham, and Ibrahim Abdulhalim "Analysis of skin moles from optical spectropolarimetric images", Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 88562J (26 September 2013); https://doi.org/10.1117/12.2024854

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available