49 citations · 62 across the 6 of their papers we have counts for
6 papers
Illumination-Invariant Image from 4-Channel Images: The Effect of Near-Infrared Data in Shadow Removal
Sorour Mohajerani, Mark S. Drew, Parvaneh Saeedi
Removing the effect of illumination variation in images has been proved to be beneficial in many computer vision applications such as object recognition and semantic segmentation.…
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images
Kumar Abhishek, Ghassan Hamarneh, Mark S. Drew
The semantic segmentation of skin lesions is an important and common initial task in the computer aided diagnosis of dermoscopic images. Although deep learning-based approaches hav…
Rehabilitating the ColorChecker Dataset for Illuminant Estimation
Ghalia Hemrit, Graham D. Finlayson, Arjan Gijsenij +5
In a previous work, it was shown that there is a curious problem with the benchmark ColorChecker dataset for illuminant estimation. To wit, this dataset has at least 3 different se…
Camera Calibration for Daylight Specular-Point Locus
Mark S. Drew, Hamid Reza Vaezi Joze, Graham D. Finlayson
In this paper we present a new camera calibration method aimed at finding a straight-line locus, in a special colour feature space, that is traversed by daylights and as well also…
Learning to Detect Blue-white Structures in Dermoscopy Images with Weak Supervision
Ali Madooei, Mark S. Drew, Hossein Hajimirsadeghi
We propose a novel approach to identify one of the most significant dermoscopic criteria in the diagnosis of Cutaneous Melanoma: the Blue-whitish structure. In this paper, we achie…
Algorithmic Derivation of Additive Selection Rules and Particle Families from Reaction Data
Oliver Schulte, Mark S. Drew
We describe a machine-learning system that uses linear vector-space based techniques for inference from observations to extend previous work on model construction for particle phys…