White balance correction and ROI extraction for CNN training (IMAGE)

Kindai University

White balance correction and ROI extraction for CNN training

Caption

A typical image preprocessing workflow. The facial image is corrected for white balance with Python's OpenCV. A square region of interest (ROI) containing the main lesion is cropped. ROIs from five lesion types (ADM, Eph, Mel, Sen, LM/LMM) still show natural variation in skin tone and pigmentation. Only images with sufficient clarity (Laplacian variance ≥ 10) proceed for CNN analysis.

Credit

Professor Atsushi Otsuka from Kindai University Faculty of Medicine, Japan

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