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Local Color Enhancement

Enhancement techniques for improving the contrast between lesion and background skin on dermatological macro-images are limited in the literature. To fill this gap, a modified sigmoid transform is applied in the HSV color space. The crossover point in the modified sigmoid transform that divides the macro-image into lesion and background is predicted using a modified EfficientNet regressor to exclude manual intervention and subjectivity.

Papers

Showing 15 of 5 papers

TitleStatusHype
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesionsCode0
Histogram Equalization Of The Image0
Contrast Limited Adaptive Histogram Equalization (CLAHE) Approach for Enhancement of the Microstructures of Friction Stir Welded Joints0
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image ProcessingCode0
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image ProcessingCode0
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