Oretinex-DI: Pre-Processing Algorithms for Melanoma Image Enhancement

In Medical imaging, the dermoscopic images analysis is quite useful for the skin cancer detection. The automatic computer assisted diagnostic systems (CADS) require dermoscopic image enhancement for human perception and analysis. The traditional image enhancements methods lack the synchronization am...

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Bibliographic Details
Published in:Biomedical & pharmacology journal 2018-09, Vol.11 (3), p.1381-1387
Main Authors: Reshma, M, Shan, Priestly B
Format: Article
Language:English
Subjects:
Algorithms
Business metrics
Cancer diagnosis
Datasets
Image processing
International conferences
Light effects
Medical imaging equipment
Melanoma
Perception
Performance evaluation
Signal processing
Skin
Skin cancer
Synchronization
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Summary:In Medical imaging, the dermoscopic images analysis is quite useful for the skin cancer detection. The automatic computer assisted diagnostic systems (CADS) require dermoscopic image enhancement for human perception and analysis. The traditional image enhancements methods lack the synchronization among contrast perception between human and the digital images. This paper proposes an optimized-Retinex (ORetinex) image enhancement algorithm to remove light effects, which is quite suitable for the dermoscopic image for clinical analysis for Melanoma. The value of global contrast factor (GCF) and contrast per pixel (CPP) is computed and compared with the traditional methods of image enhancements including contrast enhancement, CLAHE,Adaptive histogram equalization, Bilinear filtering and the proportion of GCF and CPP is found quite optimal as compare to these traditional methods.
ISSN:0974-6242
2456-2610
DOI:10.13005/bpj/1501