• 1990 (Vol.4)
  • 1989 (Vol.3)
  • 1988 (Vol.2)
  • 1987 (Vol.1)

Volume 34 #4

Contents

  1. Plasticity of inertial mass in the equilibrium organ within an altering gravitational field
  2. Behavioral and neurophysiological characteristics of oblique orientations estimation in males and females
  3. The role of slow sodium channels in GABA and NO-ergic modulation of the excitability of a nociceptive neuron
  4. Prolab: perceptually uniform projective colour coordinate system
  5. A convolutional neural network, robust to label noise for glioma segmentation
  6. Using window hough transform for detecting elongated boundaries in an image

Prolab: perceptually uniform projective colour coordinate system

© 2020 I. A. Konovalenko, A. A. Smagina, D. P. Nikolaev, P. P. Nikolaev

Institute for Information Transmission Problems of RAS (Kharkevich Institute), 127051 Moscow, Bolshoy Karetny pereulok 19, Russia
Smart Engines Service LLC 117312 Moscow, pr. 60-letiya Oktyabrya, 9, Russia
Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Institutsky pereulok 9, Russia

Received 17 Jun 2020

In this work we propose proLab – a new color coordinate system derived as CIE XYZ 3d-projective transformation. We show that proLab is far ahead of the widely CIELAB coordinate system and inferior to the modern CAM16-UCS according to perceptual uniformity, which is evaluated by STRESS metric with reference to the CIEDE2000 color differences formula. At the same time, angular errors of chromaticity estimation in proLab can be used in linear regression same as in linear colorspaces, since projective transformation preserve manifolds linearity. But unlike linear spaces, in proLab, angular errors between different color tones are normalized according to human color discrimination thresholds. The article also shows that shot noise in proLab is less heteroscedastic than both in CAM16-UCS and in standard color spaces. This makes proLab a coordinate system convenient to perform linear color analysis.

Key words: colour spaces, colour difference, perceptual uniformity, linear colour analysis, colour homography, colour image noise, noise heteroscedasticity

DOI: 10.31857/S0235009220040034

Cite: Konovalenko I. A., Smagina A. A., Nikolaev D. P., Nikolaev P. P. Prolab: psikhofizicheski ravnomernaya proektivnaya sistema tsvetovykh koordinat [Prolab: perceptually uniform projective colour coordinate system]. Sensornye sistemy [Sensory systems]. 2020. V. 34(4). P. 307–328 (in Russian). doi: 10.31857/S0235009220040034

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