computer-vision-10
Local Color Enhancement
3260 papers • 126 benchmarks • 313 datasets
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.
(Image credit: Papersgraph)
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University of Waterloo skin cancer database
University of Waterloo skin cancer database
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Most implemented papers
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
Naoto Inoue, Ryosuke Furuta, T. Yamasaki•Fri Nov 09 2018
This paper extends deep RL to pixelRL, and proposes an effective learning method for pixelRL that significantly improves the performance by considering not only the future states of the own pixel but also those of the neighbor pixels.
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