Skip to Main content Skip to Navigation
Journal articles

Skin image illumination modeling and chromophore identication for melanoma diagnosis

Zhao Liu 1 Josiane Zerubia 1, *
* Corresponding author
Abstract : The presence of illumination variation in dermatological images has a negative impact on the automatic detection and analysis of cutaneous lesions. This paper proposes a new illumination modeling and chromophore identication method to correct lighting variation in skin lesion images, as well as to extract melanin and hemoglobin concentrations of human skin, based on an adaptive bilateral decomposition and a weighted polynomial curve tting, with the knowledge of a multi-layered skin model. Different from state-of-the-art approaches based on the Lambert law, the proposed method, considering both specular reection and diffuse reection of the skin, enables us to address highlight and strong shading effects usually existing in skin color images captured in an uncontrolled environment. The derived melanin and hemoglobin indices, directly relating to the pathological tissue conditions, tend to be less inuenced by external imaging factors and are more efcient in describing pigmentation distributions. Experiments show that the proposed method gave better visual results and superior lesion segmentation, when compared to two other illumination correction algorithms, both designed specically for dermatological images. For computer-aided diagnosis of melanoma, sensitivity achieves 85.52% when using our chromophore descriptors, which is 8~20% higher than those derived from other color descriptors. This demonstrates the benet of the proposed method for automatic skin disease analysis.
Complete list of metadata

Cited literature [12 references]  Display  Hide  Download

https://hal.inria.fr/hal-01164805
Contributor : Josiane Zerubia <>
Submitted on : Wednesday, June 17, 2015 - 6:40:10 PM
Last modification on : Thursday, March 5, 2020 - 4:52:03 PM
Long-term archiving on: : Tuesday, April 25, 2017 - 11:12:25 AM

File

PMB paper.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Zhao Liu, Josiane Zerubia. Skin image illumination modeling and chromophore identication for melanoma diagnosis. Physics in Medicine and Biology, IOP Publishing, 2015, 60 (9), pp.3415-3431. ⟨10.1088/0031-9155/60/9/3415⟩. ⟨hal-01164805⟩

Share

Metrics

Record views

353

Files downloads

959